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drlpFld34L | EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations | https://openreview.net/forum?id=drlpFld34L | [
"Yangcen Liu",
"Shuo Cheng",
"Xinchen Yin",
"Woo Chul Shin",
"Alfred Cueva",
"Yiran Yang",
"Zhenyang Chen",
"Chuye Zhang",
"Danfei Xu"
] | Poster | Imitation learning (behavioral cloning, inverse RL) | Dexterous manipulation is limited by the cost of collecting large-scale robot demonstrations. Egocentric human videos offer a scalable source of diverse manipulation behaviors, but directly using them for robot learning requires bridging two gaps: the visual gap between human and robot observations, and the action gap ... | [
"Robotic data generation",
"Dexterous Manipulation"
] | null | 5 | 2606.12604 | title_snapshot |
dKRgZYcdRV | Object-Centric Conditioning for Visuomotor Flow Matching | https://openreview.net/forum?id=dKRgZYcdRV | [
"Jijie Li",
"Xu Yang",
"Junhong Zou",
"Chunhai Zhao",
"Chaoyang Zhao",
"Zhen Lei",
"Xiangyu Zhu"
] | Poster | Learning representations for robotic perception and control | Robot visuomotor policies are commonly formulated as autoregressive, diffusion-based, or more recently, flow matching models. Among them, Action-to-Action (A2A) flow matching improves inference efficiency by initializing generation from historical action priors rather than stochastic noise. However, strong dependence o... | [
"Robot manipulation"
] | null | 6 | 2609.24155 | title_snapshot |
USXQ0bDfAz | HumanX: Toward Agile and Generalizable Humanoid Interaction Skills from Human Videos | https://openreview.net/forum?id=USXQ0bDfAz | [
"Yinhuai Wang",
"Qihan Zhao",
"Yuen Fui Lau",
"Runyi Yu",
"Hok Wai Tsui",
"Qifeng Chen",
"Jingbo Wang",
"Jiangmiao Pang",
"Ping Tan"
] | Poster | Reinforcement learning for physical robot control | Enabling humanoid robots to perform agile and adaptive interactions has long been a core challenge in robotics. Current approaches are bottlenecked by either the scarcity of realistic interaction data or the need for meticulous, task-specific reward engineering, which limits their scalability. To narrow this gap, we pr... | [
"Imitation learning (behavioral cloning, inverse RL)"
] | null | 8 | 2602.02473 | title_snapshot |
jnEHLRyWTZ | Learning Beyond What Humans Can Demonstrate | https://openreview.net/forum?id=jnEHLRyWTZ | [
"Yuchen Song",
"Aditya Mittal",
"Unnat Jain"
] | Poster | Imitation learning (behavioral cloning, inverse RL) | Behavior cloning for robot manipulation is based on expert demonstration datasets. However, for tasks that require dynamic
stability, precise contact timing, or dexterous coordination, human teleoperators may find it hard or even impossible to collect data. We study this infeasible-demonstration regime and propose GLID... | [
"Human-robot interaction and natural language instruction",
"Dexterous Manipulation",
"LLM for Robotics"
] | null | 11 | 2609.24996 | title_snapshot |
r27erS063s | OmniContact: Chaining Meta-Skills via Contact Flow for Generalizable Humanoid Loco-Manipulation | https://openreview.net/forum?id=r27erS063s | [
"Runyi Yu",
"Xiaoyi Lin",
"Ji Ma",
"Yinhuai Wang",
"Koukou Luo",
"Jiahao Ji",
"Huayi Wang",
"Wenjia Wang",
"Runhan Zhang",
"Ping Tan",
"Ting Wu",
"Ruoli Dai",
"Qifeng Chen",
"Lei Han"
] | Poster | Reinforcement learning for physical robot control | Learning long-horizon humanoid loco-manipulation poses a dual challenge: it requires not only the robust execution of meta-skills but also their seamless, closed-loop chaining equipped with autonomous recovery. Existing approaches remain limited: explicit humanoid-object interaction representations offer precision but ... | [
"Combination of learning and planning in robotics",
"Humanoid Loco-Manipulaton"
] | null | 14 | 2606.26201 | title_snapshot |
jeNVGuJQrb | SPARK: Simple Post-training for Adapting pRetrained Knowledge to Robot Control | https://openreview.net/forum?id=jeNVGuJQrb | [
"Taekyung Kim",
"Jeongeun Park",
"Byeongho Heo",
"Sungjoon Choi",
"Sangdoo Yun",
"Dongyoon Han"
] | Poster | Learning representations for robotic perception and control | Large scale representation learning has produced public foundation models that provide strong general purpose visual features.However, their pretraining objectives are not designed for robot representation learning, so the resulting embeddings tend to emphasize global semantics rather than the temporally sensitive repr... | [] | null | 15 | null | null |
2vx7I6aRPS | PIVOT: Policy Improvement via Trust-Region Optimization from Deployment Experience | https://openreview.net/forum?id=2vx7I6aRPS | [
"Shenghan Lin",
"Qicheng Xu",
"Zhecheng Yuan",
"Xiangchen Tian",
"Chenhao Lu",
"Zilin Kang",
"Muhan Wang",
"Xiuyu Xie",
"Huazhe Xu"
] | Poster | Robot manipulation | Post-training with real-world experience is critical for reliable deployment of robot foundation models, but heterogeneous data from demonstrations, human corrections, and autonomous rollouts are difficult to convert into stable policy updates. We present PIVOT, an iterative real-world post-training system built on Tru... | [
"Reinforcement learning for physical robot control"
] | null | 27 | null | null |
58liP3p4hu | Sim-to-Real Transfer for Muscle-Actuated Robots via Generalized Actuator Networks | https://openreview.net/forum?id=58liP3p4hu | [
"Jan Schneider",
"Mridul Mahajan",
"Le Chen",
"Simon Guist",
"Bernhard Schölkopf",
"Ingmar Posner",
"Dieter Büchler"
] | Poster | Sim-to-real transfer | Tendon drives paired with soft muscle actuation enable faster and safer robots while potentially accelerating skill acquisition. Still, these systems are rarely used in practice due to inherent nonlinearities, friction, and hysteresis, which complicate modeling and control. So far, these challenges have hindered policy... | [
"Reinforcement learning for physical robot control"
] | null | 28 | 2604.09487 | title_snapshot |
k9EjTLL8bA | RAMT-VLA: Reliability-Aware Memory Tracing for Historical Support Assessment in Vision-Language-Action Models | https://openreview.net/forum?id=k9EjTLL8bA | [
"Wenhao Li",
"Dong Li",
"Zhihua Xie",
"Wenbo Li"
] | Poster | Robot foundation models and general-purpose knowledge systems | Vision-language-action (VLA) policies are effective generalist robot controllers, but in long-horizon tasks a visually plausible action can be inappropriate unless earlier subgoals have been completed. We introduce historical support, a reliability criterion asking whether task history justifies a candidate action at t... | [] | null | 31 | null | null |
CtcahYuPBL | UniVTAC: A Unified Simulation Platform for Visuo-Tactile Manipulation Data Generation, Learning, and Benchmarking | https://openreview.net/forum?id=CtcahYuPBL | [
"Baijun Chen",
"Weijie Wan",
"Tianxing Chen",
"Congsheng Xu",
"Xianda Guo",
"Yuanyang Qi",
"Haojie Zhang",
"Fangyuan Shi",
"Longyan Wu",
"Tianling Xu",
"Yizhe Wu",
"Rui Li",
"Xiaokang Yang",
"Ping Luo",
"Wei Sui",
"Yao Mu"
] | Poster | Benchmarks and datasets for robot learning | Robotic manipulation has seen rapid progress with vision-language-action (VLA) policies. However, visuo-tactile perception is critical for contact-rich manipulation, as tasks such as insertion are difficult to complete robustly using vision alone. At the same time, acquiring large-scale and reliable tactile data in the... | [
"Multimodal perception, sensor fusion, and robot vision",
"visuo-tactile"
] | null | 34 | 2602.10093 | title_snapshot |
yPkDKkOD11 | Transformer Transformer: A Unified Model for Motion-Conditioned Robot Co-design | https://openreview.net/forum?id=yPkDKkOD11 | [
"Huy Ha",
"Karen Liu",
"Shuran Song"
] | Poster | Hardware design and optimization | An often overlooked factor of robot manipulation performance is the embodiment of the robot itself. Motivated by this problem, we study motion-conditioned robot co-design, where the goal is to generate complete robot designs that track target end-effector trajectories (from human demonstrations) while optimizing user-d... | [
"Robot manipulation",
"Cross-embodiment Control"
] | null | 35 | 2607.25798 | title_snapshot |
PLNJ3a6Yht | LadderMan: Learning Humanoid Perceptive Ladder Climbing | https://openreview.net/forum?id=PLNJ3a6Yht | [
"Siheng Zhao",
"Yuanhang Zhang",
"Ziqi Lu",
"Pieter Abbeel",
"Rocky Duan",
"Koushil Sreenath",
"Yue Wang",
"Karen Liu",
"Guanya Shi"
] | Spotlight | Reinforcement learning for physical robot control | Humanoid robots hold great promise for operating in human-centered environments, yet ladder climbing remains one of the most challenging tasks due to sparse footholds and handholds, complex whole-body coordination, and sensitivity to perception and control errors. We present LadderMan, a unified system that enables hum... | [
"Sim-to-real transfer",
"Robot Ladder Climbing",
"Humanoid Perceptive Loco-Manipulation"
] | null | 36 | 2606.05873 | title_snapshot |
n31eEof0k3 | Long-Horizon Manipulation via Trace-Conditioned VLA Planning | https://openreview.net/forum?id=n31eEof0k3 | [
"Isabella Liu",
"An-Chieh Cheng",
"Rui Yan",
"Geng Chen",
"Ri-Zhao Qiu",
"Xueyan Zou",
"Sha Yi",
"Hongxu Yin",
"Xiaolong Wang",
"Sifei Liu"
] | Poster | Robot foundation models and general-purpose knowledge systems | Long-horizon manipulation remains challenging for vision-language-action (VLA) policies: real tasks are multi-step, progress-dependent, and brittle to compounding execution errors. We present LoHo-Manip, a modular framework that scales short-horizon VLA execution to long-horizon instruction following via a dedicated ta... | [
"Robot manipulation"
] | null | 37 | 2604.21924 | title_snapshot |
YnMZwXZ68A | BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving | https://openreview.net/forum?id=YnMZwXZ68A | [
"Seth Z. Zhao",
"Luobin Wang",
"Hongwei Ruan",
"Yuxin Bao",
"Yilan Chen",
"Ziyang Leng",
"Abhijit Ravichandran",
"Honglin He",
"Zewei Zhou",
"xu han",
"Abhishek Peri",
"Zhiyu Huang",
"Pranav Desai",
"Henrik I Christensen",
"Jiaqi Ma",
"Bolei Zhou"
] | Poster | Autonomous driving and flight | Open-loop (OL) to closed-loop (CL) gap (OL-CL gap) exists when OL-pretrained policies scoring high in OL evaluations fail to transfer effectively in closed-loop (CL) deployment. In this paper, we unveil the root causes of this systemic failure and propose a practical remedy. Specifically, we demonstrate that OL policie... | [
"Policy evaluation, adversarial scenarios generation, and red teaming"
] | null | 43 | 2604.10856 | title_snapshot |
NHE9q2cz1n | RoboTTT: Context Scaling for Robot Policies | https://openreview.net/forum?id=NHE9q2cz1n | [
"Yunfan Jiang",
"Yevgen Chebotar",
"Ruijie Zheng",
"Fengyuan Hu",
"Yunhao Ge",
"Jimmy Wu",
"Tianyuan Dai",
"Scott Reed",
"Li Fei-Fei",
"Yuke Zhu",
"Linxi Fan"
] | Oral | Robot foundation models and general-purpose knowledge systems | Recent robot foundation models operate with single-step or short-history visuomotor context. We introduce Test-Time-Training Robot Policies (RoboTTT), a robot model and training recipe that scale visuomotor context to 8K timesteps, three orders of magnitude beyond state-of-the-art policies, without growing inference la... | [
"Imitation learning (behavioral cloning, inverse RL)",
"Test-Time Training",
"Long Context Policies"
] | null | 46 | 2607.15275 | title_snapshot |
Qu7v3GmYDU | ACE-VLA: Action Centric Evaluation for Token Pruning in Vision-Language-Action Models | https://openreview.net/forum?id=Qu7v3GmYDU | [
"PeihuanNi",
"Zeyu Zhu",
"Weifan Guan",
"Gang Li",
"Zitao Mo",
"Minnan Pei",
"Tielong Liu",
"Junwen Si",
"Qinghao Hu",
"Peisong Wang",
"Jian Cheng"
] | Poster | Robot foundation models and general-purpose knowledge systems | Pruning redundant visual tokens is a promising direction for reducing the high inference cost of Vision-Language-Action (VLA) models. However, existing pruning criteria are largely inherited from generic Vision-Language Models (VLMs), relying on vision-text attention or static semantics that struggle to adapt to the st... | [
"Robot manipulation",
"Token pruning and adaptive computation for embodied AI",
"Efficient vision-language-action models"
] | null | 49 | null | null |
dFblf2sS7M | Supervise What Survives: Geometry-Guided VLA Adaptation from Synthetic Robot Videos | https://openreview.net/forum?id=dFblf2sS7M | [
"Danze Chen",
"Yanzhe Chen",
"Huang Qiming",
"Zhijun Cao",
"Chen Gao",
"Mike Zheng Shou"
] | Poster | Robot manipulation | Vision-Language-Action (VLA) models require large-scale video-action pairs, yet real teleoperation remains scarce. While generated robot videos offer a scalable alternative, existing methods treat them as real robot data by recovering pseudo-actions from synthesized pixels. We argue that deriving low-level control from... | [
"Learning representations for robotic perception and control",
"Vision-Language-Action Models",
"Synthetic Robot Videos"
] | null | 50 | 2606.24448 | title_snapshot |
3jf63cW3cJ | Where Success Breaks: Failure-Boundary Learning for Robust Vision-Language-Action Models | https://openreview.net/forum?id=3jf63cW3cJ | [
"Yanzhe Chen",
"Zhijun Cao",
"Mike Zheng Shou"
] | Poster | Robot manipulation | Vision-language-action (VLA) models adapted through supervised fine-tuning (SFT) inherit a structural asymmetry: expert demonstrations teach the policy where success behavior lies, but provide no signal about where it ceases to be reliable.
We argue that robust VLA adaptation should therefore be viewed not as further d... | [
"Reinforcement learning for physical robot control"
] | null | 52 | 2609.06114 | title_snapshot |
oias4zZRUn | Unleashing Infinite Motion: Scaling Expressive Quadrupedal Motion via Generative Video Priors | https://openreview.net/forum?id=oias4zZRUn | [
"Youzhi Liu",
"Li Gao",
"Yifei Qian",
"Liu Liu",
"Yang Cai",
"Tang Wenbin"
] | Poster | Benchmarks and datasets for robot learning | Quadruped robots have achieved remarkable locomotion, yet their behavioral repertoire remains confined to a few gaits—far from the expressive, companion-like presence long envisioned for them. Attempts to import the humanoid recipe of large-scale motion data have inherited one tacit assumption: that robot motion must f... | [
"Robotic data generation"
] | null | 53 | 2606.28237 | title_snapshot |
334wtBsPIG | Water-Filling Allocation and Phase Transitions in Action-Conditioned Multimodal Information Bottlenecks | https://openreview.net/forum?id=334wtBsPIG | [
"YUHAO LIAO",
"Zijian Zeng",
"Huiming Yang",
"Dingding"
] | Poster | Multimodal perception, sensor fusion, and robot vision | Robots in contact-rich manipulation must decide which information to encode from vision and touch, while also determining the manipulation phases in which tactile information is sufficiently action-relevant to justify representation budget. We introduce Phase-Aware Variational Multimodal Information Bottleneck (PA-VMMI... | [
"Robot manipulation"
] | null | 54 | null | null |
bsjuF5klA3 | Graph-Reweighted Behavior Cloning with Human Interventions for Precise Robotic Manipulation | https://openreview.net/forum?id=bsjuF5klA3 | [
"Xiaoman Li",
"Zhiqiang Yang",
"Jiayu Hu",
"Jipeng Kong",
"Yang Zhang",
"waylen zhang",
"Fangzheng YAN",
"Chunhua Shen",
"Chenjia Bai"
] | Poster | Imitation learning (behavioral cloning, inverse RL) | Long-horizon precise manipulation produces mixed-quality data for post-training vision-language-action (VLA) models: even successful demonstrations and intervention-assisted rollouts may contain detours, hesitations, failed attempts, and imperfect recoveries. The key challenge is to identify which action chunks actuall... | [
"Robot manipulation",
"Vision-Language-Action Models"
] | null | 55 | 2610.20504 | title_snapshot |
eRpTR7EEC1 | LIME: Learning Intent-aware Camera Motion from Egocentric Video | https://openreview.net/forum?id=eRpTR7EEC1 | [
"Boyang Sun",
"Jiajie Li",
"Yung-Hsu Yang",
"Chenyangguang Zhang",
"Tim Engelbracht",
"Sunghwan Hong",
"Cesar Cadena",
"Marc Pollefeys",
"Hermann Blum"
] | Poster | Robot navigation and locomotion | Autonomous robots often need to move their camera before they can act: to inspect an object, reveal an occluded region, or obtain a view that responds to a user's intent. While vision-language navigation translates instructions to base motion and vision-language-action policies map instructions to manipulation actions,... | [
"Learning representations for robotic perception and control",
"Active Perception"
] | null | 65 | 2607.02417 | title_snapshot |
Q4ehHMIPmb | RoboMemory: A Brain-inspired Multi-memory Agentic Framework for Interactive Environmental Learning in Physical Embodied Systems | https://openreview.net/forum?id=Q4ehHMIPmb | [
"Mingcong Lei",
"Honghao Cai",
"Yuyuan Yang",
"Yimou Wu",
"Jinke Ren",
"Zezhou Cui",
"Liangchen Tan",
"Junkun Hong",
"Gehan Hu",
"Shuangyu Zhu",
"Shaohan Jiang",
"Ge Wang",
"Junyuan Tan",
"Zhenglin Wan",
"Zhongkai Xue",
"LI ZHENG",
"Zhen Li",
"Shuguang Cui",
"Yiming Zhao",
"Yat... | Poster | Task and motion planning | Long-horizon embodied tasks require agents to learn, reason, and generalize robustly across complex real-world environments. However, existing approaches often struggle with partial observability, fragmented spatial reasoning, and inefficient integration of heterogeneous memories, limiting their capacity for long-horiz... | [
"Robot foundation models and general-purpose knowledge systems"
] | null | 68 | 2508.01415 | title_snapshot |
Tjg1ZvCdXU | Behavior Uncloning: Distilling Mode Redirection into Policy Weights without Inference-Time Steering | https://openreview.net/forum?id=Tjg1ZvCdXU | [
"Hao Wang",
"Jiuzhou Lei",
"Dayou Li",
"Bangya Liu",
"Minghui Zheng",
"Manling Li",
"Ruohan Zhang",
"Zhiwen Fan"
] | Poster | Imitation learning (behavioral cloning, inverse RL) | Behavior-cloned policies often learn multiple behavior modes from demonstration datasets, including modes that are unsafe or otherwise undesired at deployment. For example, a policy trained on diverse handover demonstrations may learn to pass a knife blade-first. Standard remedies such as data curation and inference-ti... | [
"Learning representations for robotic perception and control"
] | null | 69 | 2606.29201 | title_snapshot |
hJv9yhbgxR | Native Memory Compression for Long-Horizon Robotic Manipulation | https://openreview.net/forum?id=hJv9yhbgxR | [
"Ziye Wang",
"Modi Shi",
"Chaojun Ni",
"Jiazhi Yang",
"Mengdi Li",
"Zhizhong Su",
"Tianwei Lin",
"Hongyang Li"
] | Poster | Robot manipulation | How can pretrained Vision-Language-Action (VLA) models retain long-horizon visual histories with high-frequency updates without sacrificing efficiency? Existing approaches rely on external memory management, which restrains either the memory horizon or the reactiveness of pretrained policies. To this end, we present Na... | [
"Imitation learning (behavioral cloning, inverse RL)"
] | null | 71 | 2607.06678 | title_judge |
WBGnJHRIso | RoboNaldo: Accurate, Stable and Powerful Humanoid Soccer Shooting via Motion-Guided Curriculum Reinforcement Learning | https://openreview.net/forum?id=WBGnJHRIso | [
"Yichao Zhong",
"Yidan Lu",
"Yuhang Lu",
"Tianyang TANG",
"Haoguang Mai",
"Yixuan Pan",
"Tianyu Li",
"Li Chen",
"Jingbo Wang",
"Zhongyu Li",
"Peng Lu",
"Hongyang Li"
] | Oral | Reinforcement learning for physical robot control | Elite humanoid soccer shooting requires whole-body stability, high-impulse whole-body interactions, and accuracy to targets. Motion tracking-driven reinforcement learning (RL) provides stability in whole-body movement coordination, but a fixed reference makes it hard to adapt to varied ball positions and strike timings... | [
"Sim-to-real transfer",
"Humanoid-Object Interaction",
"Atheletic Robots"
] | null | 74 | 2606.11092 | title_snapshot |
MWHlzlo4UD | Benchmarking Real-World Robotic Manipulation through Stochastic Challenges | https://openreview.net/forum?id=MWHlzlo4UD | [
"Elias Gläßer",
"Gülhan Şikaroğlu",
"Pavlo Kupyn",
"Marc Pollefeys",
"Zuria Bauer",
"Hermann Blum"
] | Poster | Benchmarks and datasets for robot learning | A challenging bottleneck in manipulation research is reproducibility and comparability of methods in real-world environments. Since manipulation is an interactive task, it cannot be evaluated on a static dataset of observations. Benchmarking in simulation is a common remedy, but cannot cover the whole complexity of rea... | [
"Robot manipulation"
] | null | 79 | null | null |
w3g5PWur7i | MobiAgent: Dual-Loop Recursive Policy Self-Improvement for Long-Horizon Mobile Manipulation | https://openreview.net/forum?id=w3g5PWur7i | [
"Chenzhi Liu",
"Yue Zhang",
"Jiehong Lin",
"Jianan Wang",
"Bo Wang",
"Zhongrui Wang",
"Xiaojuan Qi"
] | Poster | Combination of learning and planning in robotics | Long-horizon mobile manipulation presents significant challenges due to compounding execution errors and capacity interference between locomotion and arm control. While recent Vision-Language-Action models excel at short-horizon tasks, they lack the hierarchical reasoning required for multi-stage objectives. Furthermor... | [
"Robot foundation models and general-purpose knowledge systems"
] | null | 89 | 2610.03476 | title_snapshot |
qKU6lifnPU | CoRE-VLA: Towards Scalable and Robust Vision-Language-Action Modeling via Conditional Routing of Experts | https://openreview.net/forum?id=qKU6lifnPU | [
"Haozhe Zhang",
"Sixian Li",
"Yifei Zhang",
"Zezheng Huai",
"Hao Chen",
"Chunhua Shen",
"Jingjing Gong",
"Xipeng Qiu"
] | Poster | Robot foundation models and general-purpose knowledge systems | Vision-language-action (VLA) models have advanced generalist robotic manipulation, yet real-world deployment reveals a fundamental challenge: robots are equipped with diverse and heterogeneous sensor configurations, auxiliary sensors can fail unexpectedly during operation, and different robot embodiments often lack cer... | [
"Robot manipulation"
] | null | 91 | 2607.03693 | title_snapshot |
PEWWDUL10X | OmniGuide: Universal Spatial Guidance Fields for Enhancing Generalist Robot Policies | https://openreview.net/forum?id=PEWWDUL10X | [
"Yunzhou Song",
"Long Le",
"Yong-Hyun Park",
"Jie Wang",
"Junyao Shi",
"Lingjie Liu",
"Jiatao Gu",
"Eric Eaton",
"Dinesh Jayaraman",
"Kostas Daniilidis"
] | Poster | Robot foundation models and general-purpose knowledge systems | Vision-language-action (VLA) models have shown great promise as generalist policies for a large range of relatively simple tasks. However, they demonstrate limited performance on more complex tasks, such as those requiring complex spatial or semantic understanding, manipulation in clutter, or precise manipulation. We p... | [] | null | 92 | 2603.10052 | title_judge |
DzAZfcPUiP | How to Peel with a Knife: Aligning Fine-Grained Manipulation with Human Preference | https://openreview.net/forum?id=DzAZfcPUiP | [
"Toru Lin",
"Shuying Deng",
"Zhao-Heng Yin",
"Pieter Abbeel",
"Jitendra Malik"
] | Poster | Robot manipulation | Many essential manipulation tasks -- such as food preparation, surgery, and craftsmanship -- remain difficult for autonomous robots. These tasks are characterized not only by contact-rich, force-sensitive dynamics, but also by their "implicit" success criteria: unlike pick-and-place, task quality in these domains is co... | [
"Imitation learning (behavioral cloning, inverse RL)",
"Learning from Human Preference"
] | null | 95 | 2603.03280 | title_snapshot |
Zts11nHGLq | Hierarchical Planning with Latent World Models | https://openreview.net/forum?id=Zts11nHGLq | [
"Wancong Zhang",
"Basile Terver",
"Artem Zholus",
"Soham Chitnis",
"Harsh Sutaria",
"Mido Assran",
"Randall Balestriero",
"Amir Bar",
"Yann LeCun",
"Nicolas Ballas"
] | Poster | Video models and latent world models for robot learning | World models are a promising path to zero-shot embodied control through planning. However, existing world model planners struggle on long-horizon, multi-stage tasks: prediction errors compound and naive search is exponential in the planning horizon. Hierarchy mitigates both by decomposing tasks into shorter, tractable ... | [
"Combination of learning and planning in robotics"
] | null | 109 | 2604.03208 | title_snapshot |
c4Z0Y8gvnI | MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation | https://openreview.net/forum?id=c4Z0Y8gvnI | [
"Abhay Deshpande",
"Maya Guru",
"Rose Hendrix",
"Snehal Jauhri",
"Ainaz Eftekhar",
"Rohun Tripathi",
"Max Argus",
"Jordi Salvador",
"Haoquan Fang",
"Matthew Wallingford",
"Wilbert Pumacay",
"Yejin Kim",
"Quinn Pfeifer",
"Ying-Chun Lee",
"Piper Wolters",
"Omar Rayyan",
"Mingtong Zhang... | Oral | Sim-to-real transfer | A prevailing view in training generalist policies is that simulation alone is not enough; effective sim-to-real transfer is widely believed to require at least some real-world data collection or task-specific fine-tuning to bridge the gap between simulated and physical environments. In this paper, we challenge that ass... | [
"Robotic data generation",
"Robot manipulation"
] | null | 110 | 2603.16861 | title_snapshot |
sIe2LX2HaF | DexNinja: Learning Robust Dexterous Cutting Policy with a Real-to-Sim-to-Real Data Engine | https://openreview.net/forum?id=sIe2LX2HaF | [
"Haozhe Lou",
"Runyi Yang",
"Wanqi Zhong",
"Caiyun Liu",
"Yicheng Liu",
"Wenhao Liu",
"Wenlong Ma",
"Jiawei Xia",
"Kanzhi Wu",
"Danda Pani Paudel",
"Luc Van Gool",
"Hang Zhao",
"Yiming Li"
] | Poster | Robotic data generation | Cutting a piece of food looks effortless in human hands: we nudge the blade, adjust the angle, modulate pressure as the skin yields and cuts. For a robot, however, every cut is a high-contact interaction with a deformable, elasto-plastic object whose behavior changes with pose, contact mode, and cutting stage. Collecti... | [
"Robot manipulation"
] | null | 111 | 2610.17208 | title_snapshot |
sdujBb3P4e | FlashDrive: Flash Vision-Language-Action Inference Framework for Autonomous Driving | https://openreview.net/forum?id=sdujBb3P4e | [
"Zekai Li",
"Yihao Liang",
"Hongfei Zhang",
"Jian Chen",
"Yesheng Liang",
"Zhijian Liu"
] | Poster | Autonomous driving and flight | Vision-Language-Action (VLA) models promise to bring end-to-end reasoning to autonomous driving, but their computational cost is orders of magnitude too high for real-time control. The core challenge is that VLA inference is not a single bottleneck but a pipeline of four stages (visual encoding, language model prefilli... | [
"Efficient Inference Framework"
] | null | 114 | 2608.12932 | title_judge |
nBDd4rVq5Q | From Video Frames to Robot Meta-Frames: A Unified Latent Interface for World Action Models | https://openreview.net/forum?id=nBDd4rVq5Q | [
"Guoqiang Liang",
"Yiqi Lin",
"Yanzhe Chen",
"Kevin Yuchen Ma",
"Mike Zheng Shou"
] | Poster | Video models and latent world models for robot learning | Pretrained video diffusion models (VDMs) offer a powerful foundation for World Action Models (WAMs), which jointly predict robot actions and future observations. Building such models requires injecting low-dimensional robot signals (e.g., proprioception, actions, and values) into a latent space shaped by natural videos... | [
"Robot foundation models and general-purpose knowledge systems",
"World Action Model"
] | null | 115 | null | null |
uMgOYXmgn2 | RoboDreamer: Anticipatory Humanoid Locomotion with Predictive State-Space Models | https://openreview.net/forum?id=uMgOYXmgn2 | [
"Zhe Li",
"Yangyang Wei",
"Xichen Yuan",
"Zhenzhe Zhang",
"Weihao Yuan",
"Shanghang Zhang",
"Jianfei Yang"
] | Poster | Reinforcement learning for physical robot control | Humanoid locomotion requires control policies that remain stable under imperfect sensing while capturing long-term temporal dependencies for consistent and adaptive movement. Conventional end-to-end policies based on multi-layer perceptrons lack explicit temporal memory and often struggle to recover from sensor dropout... | [
"Robot navigation and locomotion"
] | null | 119 | 2609.07096 | title_snapshot |
HuFkyUA5RR | Recover, Discover, Plan: Learning Skills and Concepts from Robot Failures | https://openreview.net/forum?id=HuFkyUA5RR | [
"Bowen Li",
"Mayank Mishra",
"Y. Isabel Liu",
"Stone Tao",
"Nishanth Kumar",
"Alexander G. Gray",
"Ruwan Wickramarachchi",
"Jonathan Francis",
"Sebastian Scherer",
"Tom Silver"
] | Poster | Combination of learning and planning in robotics | Intelligent robots should not only recover from failures, but also acquire the abstract knowledge needed to avoid them in the future. While reinforcement learning (RL) can learn reactive recovery behaviors, training a separate policy for every distinct failure mode is highly inefficient. We introduce Recovery-Driven Sy... | [
"Task and motion planning",
"Recovery Learning",
"Skill and Concept Learning"
] | null | 124 | 2606.18328 | title_snapshot |
wBzyyPlFs6 | SidewalkBench: Benchmarking Visual Navigation on Urban Sidewalks | https://openreview.net/forum?id=wBzyyPlFs6 | [
"Zhizheng Liu",
"Honglin He",
"Vivek Alumootil",
"Akshat Pandya",
"Brad Squicciarini",
"Wayne Wu",
"Bolei Zhou"
] | Spotlight | Benchmarks and datasets for robot learning | Urban sidewalk navigation presents significant challenges due to complex structural layouts, dynamic pedestrian behaviors, and long distances. While recent visual navigation models offer a promising solution, the lack of a unified benchmark hinders quantitative and reproducible evaluation. To bridge this gap, we propos... | [] | null | 126 | 2606.16953 | title_snapshot |
JiMWz6U93i | AsyncVLA: An Asynchronous VLA for Fast and Robust Navigation on the Edge | https://openreview.net/forum?id=JiMWz6U93i | [
"Noriaki Hirose",
"Catherine Glossop",
"Dhruv Shah",
"Sergey Levine"
] | Poster | Robot foundation models and general-purpose knowledge systems | Robotic foundation models achieve strong generalization by leveraging internet-scale vision-language representations, but their massive computational cost creates a fundamental bottleneck: high inference latency. In dynamic environments, this latency breaks the control loop, rendering powerful models unsafe for real-ti... | [
"Robot navigation and locomotion"
] | null | 128 | 2602.13476 | title_snapshot |
c7BvD59RpP | Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient | https://openreview.net/forum?id=c7BvD59RpP | [
"Haoxiang You",
"Yilang Liu",
"Davis Zong",
"Qian Wang",
"Teeratham Vitchutripop",
"Qi Wang",
"Daniel Rakita",
"Ian Abraham"
] | Poster | Reinforcement learning for physical robot control | We present the stochastic decoupled policy gradient (SDPG), a lightweight visual reinforcement learning (RL) method that trains diverse visuomotor control policies end-to-end within a few hours on a single NVIDIA RTX 4080 GPU. SDPG estimates policy gradients via random perturbations of trajectory rollouts, requiring or... | [
"Benchmarks and datasets for robot learning",
"Visual RL",
"Perceptive Humanoid Locomotion"
] | null | 129 | 2605.26478 | title_snapshot |
rYkaehgzzO | See Less, Specify More: Visual Evidence Budgets for Generalizable VLAs | https://openreview.net/forum?id=rYkaehgzzO | [
"Yueh-Hua Wu",
"Tatsuya Matsushima",
"Kei Ota"
] | Poster | Robot foundation models and general-purpose knowledge systems | Generalization remains a central bottleneck for vision-language-action (VLA) models: under distractors, appearance shifts, and semantically similar tasks, the policy must often infer local execution details from coarse instructions while also deciding which parts of the image matter for control. We present S2 (See Less... | [] | null | 132 | 2606.02735 | title_snapshot |
P8H2WZH2Tw | Predictive Representation Learning for Manipulation via Streaming Egocentric 3D Hand Forecasting | https://openreview.net/forum?id=P8H2WZH2Tw | [
"Ruicong Liu",
"Yifei Huang",
"Liangyang Ouyang",
"Caixin Kang",
"Yoichi Sato"
] | Poster | Learning representations for robotic perception and control | Learning embodied manipulation from egocentric human data offers a scalable path, reducing the cost of collecting robot-specific demonstrations. However, existing representation learning methods largely stop at perceptual understanding, such as extracting what a scene contains or what an action is. A capable embodied a... | [
"Task and motion planning",
"Egocentric vision",
"hand pose forecasting"
] | null | 134 | 2511.18127 | title_judge |
oq5Byppu7Q | CAP: Continuously Adaptive Perception-Blind Humanoid Locomotion via Learned Denoising | https://openreview.net/forum?id=oq5Byppu7Q | [
"Hongjin Chen",
"Zijun Xu",
"Shihao Ma",
"Yi Zhao",
"Xilai Liu",
"Ke Ma",
"Wei Zhang",
"Chunyang Xie",
"Pengfei Li",
"Jieru Zhao",
"Wenchao Ding"
] | Poster | Robot navigation and locomotion | Humanoid locomotion across complex terrain demands forward-looking exteroception to anticipate obstacles, yet this signal is unreliable in real-world deployment, failing partially and intermittently. Existing perceptive policies often assume that depth observations remain clean and in-distribution, while recent attempt... | [
"Learning representations for robotic perception and control",
"humanoid locomotion",
"world models"
] | null | 139 | 2609.11553 | title_snapshot |
Nfz7oM0Vwz | InCoM: Intent-Driven Perception and Structured Coordination for Mobile Manipulation | https://openreview.net/forum?id=Nfz7oM0Vwz | [
"Jiahao Liu",
"Cui Wenbo",
"Zhongpu Xia",
"Yongliang Wang",
"Haoran Li",
"Dongbin Zhao"
] | Poster | Imitation learning (behavioral cloning, inverse RL) | Mobile manipulation is a fundamental capability for general-purpose robotic agents, requiring both coordinated control of the mobile base and manipulator and robust perception under dynamically changing viewpoints. However, existing approaches face two key challenges: strong coupling between base and arm actions compli... | [
"Multimodal perception, sensor fusion, and robot vision",
"Mobile Manipulation"
] | null | 140 | 2602.23024 | title_snapshot |
5TiiTY1fK3 | MEM: Multi-Scale Embodied Memory for Vision Language Action Models | https://openreview.net/forum?id=5TiiTY1fK3 | [
"Marcel Torne",
"Karl Pertsch",
"Homer Walke",
"Kyle Vedder",
"Suraj Nair",
"brian ichter",
"Allen Z. Ren",
"Haohuan Wang",
"Jiaming Tang",
"Kyle Stachowicz",
"Karan Dhabalia",
"Michael Robert Equi",
"Quan Vuong",
"Jost Tobias Springenberg",
"Sergey Levine",
"Chelsea Finn",
"Danny Dr... | Spotlight | Robot foundation models and general-purpose knowledge systems | Conventionally, memory in end-to-end robotic learning involves inputting a sequence of past observations into the learned policy. However, in complex multi-stage real-world tasks, the robot’s memory must represent past events at multiple levels of granularity: from long-term memory that captures abstracted semantic con... | [
"Robot manipulation",
"Memory"
] | null | 141 | 2603.03596 | title_snapshot |
xOhVCWilYJ | More than a Point: Adaptive Affordance Heatmaps as VLM Grounding Interfaces for Robotics | https://openreview.net/forum?id=xOhVCWilYJ | [
"Xinyu Shao",
"TANG YANZHE",
"Pengwei Xie",
"Long ZENG",
"Xiu Li"
] | Poster | Learning representations for robotic perception and control | Hierarchical VLM-based robotic systems often use sparse points or bounding boxes as intermediate spatial representations, which are inadequate for region-level grounding. This is particularly evident in instructions such as place near the bowl, which specify a feasible region rather than a single target point. We prese... | [
"Robot manipulation",
"Spatial Grounding",
"Language-Guided Manipulation"
] | null | 142 | null | null |
kpX1KOfNI5 | HuG: Learning Humanoid Whole-Body Affordance-Aware Grasping with Active Perception | https://openreview.net/forum?id=kpX1KOfNI5 | [
"Xuanbin Peng",
"Lai Wei",
"Yuze Zhai",
"Qingyuan Yu",
"Keyi Wang",
"Jianglong Ye",
"Xiaolong Wang"
] | Poster | Robot manipulation | Humanoid loco-manipulation in unstructured environments is often hindered by egocentric occlusions and the complexity of high-DOF whole-body coordination. To bridge this gap, we present a framework HuG, for Learning Humanoid Whole-Body Affordance-Aware Grasping with Active Perception. Our system enables a robot to auto... | [
"Robotic data generation",
"Humanoid Wholebody Grasping",
"Active Perception"
] | null | 143 | null | null |
l0bwpzWRKy | Learning Human Intention for Robotic Manipulation | https://openreview.net/forum?id=l0bwpzWRKy | [
"Chengyang Li",
"Kaiyi Xiong",
"Yuan Xu",
"Lei Qian",
"Yizhou Wang",
"Wentao Zhu"
] | Spotlight | Robot manipulation | Embodied foundation models have significantly propelled the advancement of artificial general intelligence, yet they rely heavily on large-scale data. Recent studies identify human behavior as one of the most scalable sources for fostering robotic physical intelligence. However, the inherent embodiment gap remains a fu... | [] | null | 146 | null | null |
Xgth4qBOmb | SafeDojo: Safe Reinforcement Learning for VLA via Interactive World Model | https://openreview.net/forum?id=Xgth4qBOmb | [
"Kai Tang",
"Peidong Jia",
"Zhong Chu",
"Jiajun Cao",
"Jixian Wu",
"Rui Ma",
"Fangyuan Zhao",
"Sixiang Chen",
"Yichen Guo",
"Xiaowei Chi",
"Chun-Kai Fan",
"Kevin Zhang",
"Jinchang Xu",
"Fubing Yang",
"Weishi Mi",
"Xiaozhu Ju",
"Jian Tang",
"Shanghang Zhang"
] | Poster | Reinforcement learning for physical robot control | Safe control is a prerequisite for real-world embodied intelligence, for which safe reinforcement learning has emerged as a promising paradigm. However, existing safe reinforcement learning methods either require costly real-world exploration or depend on hand-crafted safety functions. Neither scales to vision-language... | [
"Model-based and model-free learning for robotic control"
] | null | 150 | 2606.20698 | title_snapshot |
c5oiL7JqbQ | Perceptive Behavior Foundation Model: Adapting Human Motion Priors to Robot-Centric Terrain | https://openreview.net/forum?id=c5oiL7JqbQ | [
"Zifan Wang",
"Yizhao Li",
"Teli Ma",
"Qiang Zhang",
"Yudong Fan",
"Hao Xu",
"Shuo Yang",
"Junwei Liang"
] | Poster | Combination of learning and planning in robotics | Humanoid behavior foundation models aim to acquire reusable whole-body control policies from broad human motion priors, enabling a single controller to produce diverse and expressive behaviors. However, existing motion-centric foundation policies largely assume that the reference motion is already physically compatible... | [
"Robot foundation models and general-purpose knowledge systems"
] | null | 151 | 2606.08059 | title_snapshot |
keuUzk1RSd | BiRoAD: Learning Shared and Role-Adaptive Representations for Bimanual Manipulation | https://openreview.net/forum?id=keuUzk1RSd | [
"Yan Shen",
"Yuchen Liu",
"Feng Jiang",
"Hangtian Hu",
"Xiaoqi Li",
"Shu Chen",
"Ruihai Wu",
"Hao Dong"
] | Poster | Robot manipulation | Bimanual manipulation requires policies that coordinate two arms while adapting their functional roles to scene geometry, object configuration, and task context. Learning such scene-conditioned role adaptation remains challenging, as demonstrations may contain uneven role distributions that limit generalization to unde... | [
"Imitation learning (behavioral cloning, inverse RL)",
"Bimanual Manipulation"
] | null | 157 | 2609.23445 | title_snapshot |
HBHR1GxaS0 | What Do You Need for Compositional Generalization in Diffusion Planning? | https://openreview.net/forum?id=HBHR1GxaS0 | [
"Quentin Clark",
"Florian Shkurti"
] | Poster | Combination of learning and planning in robotics | In policy learning, stitching and compositional generalization refer to the extent to which the policy is able to piece together sub-trajectories of data it is trained on to generate new and diverse behaviours. While stitching is a strength of offline reinforcement learning, recent generative behavioural cloning (BC) m... | [
"Imitation learning (behavioral cloning, inverse RL)"
] | null | 166 | 2505.18083 | title_snapshot |
F5KmQJCC8X | LDP: Shaping Latent Spaces for Diffusion-Based Robotic Manipulation | https://openreview.net/forum?id=F5KmQJCC8X | [
"Zhexuan Zhou",
"Yichen Lai",
"Jinhao Zhang",
"Huizhe Li",
"Youmin Gong",
"Jie Mei"
] | Poster | Robot manipulation | Diffusion-based visuomotor policies operating directly in raw action spaces conflate scene comprehension with trajectory generation within a single denoising process. The resulting velocity field must simultaneously encode scene information and generate precise trajectories, increasing learning complexity and limiting ... | [
"Imitation learning (behavioral cloning, inverse RL)"
] | null | 168 | 2606.08657 | title_judge |
rQZHMVTYYy | PRISM: Polynomial Representations for Interaction-Structured Motor Control | https://openreview.net/forum?id=rQZHMVTYYy | [
"Seung Hyun Lee",
"Stella X. Yu"
] | Poster | Learning representations for robotic perception and control | Robot policies are typically MLPs mapping observations to actions. Yet robot observations are physical variables, and many action-relevant cues arise not from individual variables but from their interactions; power, inertial effects, contact, slip, and compliance depend on products among observable signals. We introdu... | [
"Polynomial interaction, Motor control, Sensorless compliance"
] | null | 175 | 2607.23473 | title_snapshot |
Q6xWLHyg6x | MolmoAct2: Action Reasoning Models for Real-World Deployment | https://openreview.net/forum?id=Q6xWLHyg6x | [
"Haoquan Fang",
"Jiafei Duan",
"Donovan Clay",
"Sam Wang",
"Shuo Liu",
"Weikai Huang",
"Xiang Fan",
"Wei-Chuan Tsai",
"Shirui Chen",
"Yi Ru Wang",
"Shanli Xing",
"Jaemin Cho",
"Jae Sung Park",
"Ainaz Eftekhar",
"Peter Sushko",
"Karen Farley",
"Angad Wadhwa",
"Cole Harrison",
"Win... | Spotlight | Robot foundation models and general-purpose knowledge systems | Vision-Language-Action (VLA) models aim to provide a single generalist controller for robots, but today's systems fall short on the criteria that matter for real-world deployment. Frontier models are closed, open-weight alternatives are tied to expensive hardware, reasoning-augmented policies pay prohibitive latency fo... | [
"Robot manipulation",
"Open science models, Robotics Foundation Models, Imitation Learning",
"Robot Learning"
] | null | 176 | 2605.02881 | title_snapshot |
XA0dFQQlqP | PanoVine: Whole-Body Visuomotor Control for Soft Growing Vine Robot | https://openreview.net/forum?id=XA0dFQQlqP | [
"Yimeng Qin",
"Xiaomeng Xu",
"William E. Heap",
"Aditi Oak",
"Shuran Song",
"Allison Okamura"
] | Poster | Robot systems, hardware, and sensors for learning | Vine robots, a class of soft, growing robots, are suitable for navigating complex and confined environments due to their compliant bodies and self-supporting growth mechanism. However, hysteresis, tether interactions, and deformations make them difficult to predict and model, which in turn limits the effectiveness of c... | [
"Imitation learning (behavioral cloning, inverse RL)",
"Soft robot, vine robot",
"Whole-body sensing"
] | null | 181 | 2606.22923 | title_snapshot |
3hsq75Gmr9 | Learning Physics-Guided Residual Dynamics for Deformable Object Simulation | https://openreview.net/forum?id=3hsq75Gmr9 | [
"Shivansh Patel",
"Kaifeng Zhang",
"Sanjay Pokkali",
"Svetlana Lazebnik",
"Yunzhu Li"
] | Spotlight | Robot manipulation | Simulating deformable objects is essential for a wide range of robotic manipulation applications, yet accurately predicting their dynamics remains challenging. We propose Physics-Guided Residual Dynamic (PGRD), a hybrid simulation framework that combines the advantages of physics-based and learning-based approaches. Sp... | [
"Sim-to-real transfer",
"Deformable objects simulation",
"Residual dynamics"
] | null | 183 | 2607.13451 | title_snapshot |
7ymfgWpcWw | ControlTac: Scaling Tactile Data with Physically Controlled Tactile Image Generation | https://openreview.net/forum?id=7ymfgWpcWw | [
"Dongyu Luo",
"Kelin Yu",
"Amir Hossein Shahidzadeh",
"Cornelia Fermuller",
"Yiannis Aloimonos",
"Ruohan Gao"
] | Poster | Multimodal perception, sensor fusion, and robot vision | Vision-based tactile sensing is widely used in perception, reconstruction, and robotic manipulation, yet collecting large-scale tactile data remains costly due to diverse sensor-object interactions and inconsistencies across sensor instances. Existing approaches to scaling tactile data—simulation and free-form tactile ... | [
"Robotic data generation",
"Tactile Sensing",
"Tactile Data Augmentation for Visuo-Tactile Robot Learning"
] | null | 186 | 2505.20498 | title_snapshot |
mHCqiRUiHi | BitVLA: 1-bit Vision-Language-Action Models for Robotics Manipulation | https://openreview.net/forum?id=mHCqiRUiHi | [
"Hongyu Wang",
"Chuyan Xiong",
"Ruiping Wang",
"Xilin CHEN"
] | Spotlight | Robot manipulation | Deploying powerful Vision-Language-Action (VLA) models on edge devices is limited by their massive size. In this paper, we take a deployment-oriented view of VLA training: we target efficiency through model design and optimization, rather than relying solely on post-hoc compression. Thus, we propose BitVLA, a fully nat... | [
"Robot foundation models and general-purpose knowledge systems",
"Efficiency",
"Quantization"
] | null | 188 | 2506.07530 | title_snapshot |
656PH9MVla | Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies | https://openreview.net/forum?id=656PH9MVla | [
"Yi Wang",
"Xinchen Li",
"Pengwei Xie",
"Pu Yang",
"Buqing Nie",
"Yunuo Cai",
"Zhang Qinglin",
"Chendi Qu",
"Jeffrey Wu",
"JianHeng Song",
"Xinlin Ren",
"Jingshun Huang",
"Mingjie Pan",
"Siyuan Feng",
"Zhi Chen",
"Jianlan Luo"
] | Poster | Reinforcement learning for physical robot control | Generalist robot policies increasingly benefit from large-scale pretraining, but offline data alone is insufficient for robust real-world deployment. Deployed robots encounter distribution shifts, long-tail failures, task variations, and human correction opportunities that fixed demonstration datasets cannot fully capt... | [
"Robot foundation models and general-purpose knowledge systems"
] | null | 189 | 2605.00416 | title_snapshot |
xcDyj95l5P | HumanoidNDM: Closing the Training-Deployment Gap of Motion Tracking via Humanoid Neural Dynamics Model | https://openreview.net/forum?id=xcDyj95l5P | [
"Chao Chen",
"Zhenrong Wang",
"Jilong Wang",
"Yusen Feng",
"Jiangran Lyu",
"Li Yi",
"He Wang"
] | Poster | Sim-to-real transfer | Humanoid robots have recently achieved remarkable success in motion tracking. However, during real-world deployment, robots inevitably encounter dynamics gaps—arising from either extra physical disturbances or inaccurate simulation modeling—resulting in a significant training-deployment gap. Therefore, effectively leve... | [
"Model-based and model-free learning for robotic control",
"Humanoid Robots",
"Motion Tracking"
] | null | 190 | null | null |
0ua1KHFIUD | HiRE: Hindsight Reward Editing for Policy Finetuning | https://openreview.net/forum?id=0ua1KHFIUD | [
"Haoyi Niu",
"Zhengtao Han",
"Yufeng Ji",
"Zhongyu Li",
"Koushil Sreenath"
] | Poster | Reinforcement learning for physical robot control | Pre-trained robot policies always require fine-tuning to adapt to new environments. Reinforcement Learning (RL) offers high performance potential because it improves action optimality rather than simply mimicking data. However, such potential depends heavily on reward quality. Sparse rewards lack process feedback, huma... | [
"Robot manipulation",
"Reward Specification",
"Policy Finetuning"
] | null | 192 | 2609.27068 | title_snapshot |
tQRHDxUApa | Physics-Aware Object-Centric SE(3) Forecasting for Real-Time Proactive Dynamic Grasping | https://openreview.net/forum?id=tQRHDxUApa | [
"Yirui Zhou",
"Hongli XU",
"Ying Zheng",
"Yi Wang",
"Lap-Pui Chau"
] | Poster | Robot manipulation | Proactive dynamic grasping requires robots to predict the future state at which physical contact will occur, rather than reacting to the currently observed object pose. But what future must the robot predict, and at what level of abstraction? We argue that contact-relevant rigid-body state in SE(3) is a compact task-su... | [
"Combination of learning and planning in robotics",
"Dynamic Grasping",
"Obejct-centric Forecasting"
] | null | 194 | 2610.17843 | title_snapshot |
7BCkvvmpuj | OptiGeo: Efficient Monocular Geometry for Embodied Perception in Optically Challenging Scenes | https://openreview.net/forum?id=7BCkvvmpuj | [
"Muxin Liu",
"TIANBO LIU",
"Jing Xia",
"Xiaoyang Lyu",
"Xiaoshan Wu",
"Bo Wang",
"Peng Dai",
"Zhongrui Wang",
"Shaoshuai Shi",
"Xiaojuan Qi"
] | Poster | Multimodal perception, sensor fusion, and robot vision | Monocular depth estimation has achieved strong open-domain generalization, yet reliable robotic deployment remains difficult in transparent, reflective, and specular environments, where depth sensors often produce missing or biased depth. Existing methods often handle such optical failures with scene-specific preproces... | [
"Learning representations for robotic perception and control",
"Monocular Depth Estimation"
] | null | 195 | 2608.29881 | title_snapshot |
aGLO1l8SNB | TactileStep: Sole Tactile Learning for Regulating Foot--Terrain Interaction in Humanoid Locomotion | https://openreview.net/forum?id=aGLO1l8SNB | [
"Zizhuo Wang",
"Ming-Ju Lee",
"Shaoting Zhu",
"Haozhe Lou",
"Hang Zhao",
"Yiming Li"
] | Spotlight | Robot navigation and locomotion | Humanoid parkour policies can traverse various terrains, but task completion may mask challenges of harsh landings, edge contacts, and unstable stance contacts. Humans naturally regulate foot–terrain interaction through tactile feedback, modulating contact compliance according to terrain stiffness. This highlights a ke... | [] | null | 196 | 2609.28959 | title_snapshot |
eioQ9vJ6Oj | Echo in the Steps: Learning Perceptive Humanoid Parkour with Gated Memory | https://openreview.net/forum?id=eioQ9vJ6Oj | [
"Ming-Ju Lee",
"Zizhuo Wang",
"Shaoting Zhu",
"Haozhe Lou",
"Hang Zhao",
"Yiming Li"
] | Poster | Robot navigation and locomotion | While recent advances in perceptive locomotion have enabled humanoid robots to traverse structured terrains, agile parkour in highly discontinuous environments remains an open challenge. In particular, crossing sparse footholds and narrow regions requires precise foothold selection, effective use of visual observations... | [] | null | 197 | 2609.28960 | title_snapshot |
dkaxE3v6uu | From Imitation to Alignment: Human-Preference Flow Policies for Long-Horizon Sidewalk Navigation | https://openreview.net/forum?id=dkaxE3v6uu | [
"Honglin He",
"Zhizheng Liu",
"Yukai Ma",
"Bolei Zhou"
] | Poster | Robot navigation and locomotion | Autonomous long-horizon sidewalk navigation is essential for micro-mobility applications such as robotic food delivery and assistive electronic wheelchairs. Unlike autonomous driving on the road, long-horizon sidewalk navigation requires precise maneuvering through unpredictable sidewalk terrains and pedestrians, with ... | [
"Robot safety, alignment, and safe learning-based systems"
] | null | 199 | 2606.12603 | title_snapshot |
ntHuqgjrgs | ImageWAM: Do World Action Models Really Need Video Generation, or Just Image Editing? | https://openreview.net/forum?id=ntHuqgjrgs | [
"Yuyang Zhang",
"Wenyao Zhang",
"Zekun Qi",
"He Zhang",
"Haitao Lin",
"Jingbo Zhang",
"Yao Mu",
"Xiaokang Yang",
"Wenjun Zeng",
"Xin Jin"
] | Poster | Robot manipulation | World Action Models (WAMs) commonly rely on video generation to bridge visual world modeling and robot control. However, video-based WAMs face three coupled limitations: dense multi-frame future tokens make inference costly, full video prediction spends capacity on action-irrelevant temporal and appearance details, and... | [
"Video models and latent world models for robot learning",
"Learning representations for robotic perception and control"
] | null | 206 | 2606.19531 | title_snapshot |
WaIPZtSrpq | World In Your Hands: A Large-scale Dataset for Learning Ego-centric Robotic Manipulation In-the-Wild | https://openreview.net/forum?id=WaIPZtSrpq | [
"Yupeng Zheng",
"Jichao Peng",
"Weize Li",
"Yuhang Zheng",
"Xiang Li",
"Yujie Jin",
"Songen Gu",
"Julong Wei",
"Guanhua Zhang",
"Ruiling Zheng",
"Ke Wu",
"Ming Cao",
"Zhenhong Zou",
"Kaige Li",
"Mingmin Yang",
"Pengfei Li",
"Feiyu Zhu",
"Hengjie Si",
"Wang Fu",
"Likun Wang",
... | Poster | Benchmarks and datasets for robot learning | In this paper, we introduce World In Your Hands (WIYH), a large-scale ego-centric dataset comprising over 1,000 hours of ego manipulation data collected in the wild with millimeter-scale motion accuracy. WIYH is built around three components: (1) Oracle Suite, a wearable data-collection kit with an auto-labeling and va... | [
"Robot manipulation",
"Robotic Manipulation",
"Ego-centric Dataset"
] | null | 212 | 2512.24310 | title_judge |
wt25SMJmEq | XDex: Learning Cross-Embodiment Dexterous Grasping with 1000 Hands | https://openreview.net/forum?id=wt25SMJmEq | [
"Keyi Wang",
"Jianglong Ye",
"Chengjing Yuan",
"Xiaolong Wang"
] | Poster | Robot manipulation | Generalizing dexterous grasping across diverse robot hands remains a fundamental challenge due to differences in geometry, topology, and kinematics. Inspired by recent advances in scaling up robot data, we show that scaling both the diversity and quantity of hand embodiments significantly improves generalization to uns... | [
"Sim-to-real transfer"
] | null | 225 | null | null |
8FGH4qAdNB | EventVLA: Event-Driven Visual Evidence Memory for Long-Horizon Vision-Language-Action Policies | https://openreview.net/forum?id=8FGH4qAdNB | [
"Ganlin Yang",
"Zhangzheng Tu",
"Yuqiang Yang",
"Sitong Mao",
"Junyi Dong",
"Tianxing Chen",
"Jiaqi Peng",
"Jing Xiong",
"Jiafei Cao",
"Jifeng Dai",
"Wengang Zhou",
"Yao Mu",
"Tai Wang"
] | Poster | Robot foundation models and general-purpose knowledge systems | Memory remains a critical bottleneck for long-horizon robotic manipulation, as standard Vision-Language-Action (VLA) policies often fail when task-relevant cues become occluded or unobservable over time. While existing memory-augmented methods utilize historical context, they either suffer from severe information bottl... | [
"Robot manipulation",
"Memory-requiring Robotic Manipulation",
"Robotic Benchmark"
] | null | 226 | 2606.20092 | title_snapshot |
MQlY5j6pnd | Static In, Dynamic Out: Counterfactual Action Augmentation for Moving Object Manipulation | https://openreview.net/forum?id=MQlY5j6pnd | [
"Woo Chul Shin",
"Zhenyang Chen",
"Alfred Cueva",
"Nadun Ranawaka Arachchige",
"Yingyan Celine Lin",
"Benjamin Joffe",
"Shreyas Kousik",
"Danfei Xu"
] | Poster | Imitation learning (behavioral cloning, inverse RL) | Visuomotor policies have advanced on manipulation tasks where the target object stays static during execution, but real deployments break this assumption: parts drift on conveyors and fruits sway in the wind. We introduce Static In, Dynamic Out (SIDO), a counterfactual action augmentation that enables a policy trained ... | [
"Robot manipulation"
] | null | 231 | 2607.27890 | title_snapshot |
tXUfbhgQg2 | Learning Unions of Convex Sets via Invertible Latent Decomposition for Path Planning | https://openreview.net/forum?id=tXUfbhgQg2 | [
"Taerim Yoon",
"Dongho Kang",
"Kisang Park",
"Junha Cha",
"Stelian Coros",
"Sungjoon Choi"
] | Poster | Combination of learning and planning in robotics | Collision-free path planning in cluttered, real-world environments relies on a representation of the collision-free space, and existing representations broadly fall into two categories. Explicit representations, such as unions of convex sets, can be plugged into optimization-based planners as hard collision-free constr... | [
"Robot safety, alignment, and safe learning-based systems",
"Latent Convex Decomposition",
"Invertible Neural Networks"
] | null | 233 | 2606.12027 | title_snapshot |
AY4totylcx | CounterAlign: Counterfactual Supervision for Vision-Language-Action Models | https://openreview.net/forum?id=AY4totylcx | [
"Haru Kondoh",
"Kei Ota",
"Asako Kanezaki",
"Yueh-Hua Wu"
] | Poster | Robot foundation models and general-purpose knowledge systems | Vision-Language-Action (VLA) models are typically trained with behavior cloning (BC) on expert demonstrations. However, BC provides only positive supervision for expert actions, without explicit negative supervision indicating which actions are instruction-inconsistent or otherwise inappropriate. Reinforcement learning... | [
"Robot manipulation",
"Offline Reinforcement Learning"
] | null | 234 | 2608.21740 | title_snapshot |
G2Ja89f1e8 | Teaching Robots Like Dogs: Learning Navigation in Cluttered Scenes from Luring, Gesture, and Speech | https://openreview.net/forum?id=G2Ja89f1e8 | [
"Taerim Yoon",
"Dongho Kang",
"Jin Cheng",
"Fatemeh Zargarbashi",
"Yijiang Huang",
"Min Sung Ahn",
"Stelian Coros",
"Sungjoon Choi"
] | Poster | Human-robot interaction and natural language instruction | We propose LURE, a framework that lets users teach a quadruped robot new navigation skills in cluttered scenes by physically luring it with a teaching rod, so that the robot then responds to high-level gesture and verbal commands. Achieving this raises two challenges. First, physical teaching is data-burdensome, and so... | [
"Robot navigation and locomotion",
"Learning from Demonstration"
] | null | 235 | 2601.08422 | title_judge |
qH1h7UkK0k | The Imitator Game: Benchmarking Robot Imitative Ability Beyond Action Prediction | https://openreview.net/forum?id=qH1h7UkK0k | [
"Xunzhe Zhou",
"Yiyang Cai",
"Fengyi Wang",
"Ran Ju",
"Hanxiang Ren",
"Ruizhe Liu",
"Yu Zhang",
"Qian Luo",
"Feng Chen",
"Pei Zhou",
"Yi Ma",
"Yanchao Yang"
] | Poster | Benchmarks and datasets for robot learning | Humans imitate at the level of intent: given a demonstration, we infer its goal and carry it out with whatever tools, objects, and layouts are at hand. Current robot policies instead learn observation-to-action mappings from visual inputs and language instructions, without explicitly inferring the demonstrated task. Le... | [
"Robot manipulation",
"Learning from Human Video",
"Imitative Capability Benchmark"
] | null | 237 | 2608.22301 | title_snapshot |
LHLnvoAEhr | YOCO: You Only Calibrate Once! Fast Mocap Calibration for Dexterous Teleoperation | https://openreview.net/forum?id=LHLnvoAEhr | [
"Yu Zhang",
"Yunqi Li",
"Yushi Du",
"Yi Ma",
"Yanchao Yang"
] | Poster | Robotic data generation | Dexterous teleoperation requires reliable human-hand state estimations. However, common low-cost motion-capture gloves and markerless trackers often exhibit biases that vary across users, glove fit, and recording sessions, degrading retargeting and demonstration quality. We present YOCO, a fast few-shot, fine-tuning-fr... | [
"Robot manipulation",
"Teleoperation",
"Hand Estimation Calibration"
] | null | 240 | 2610.11657 | title_snapshot |
KdaClHHEUt | T-Rex: Tactile-Reactive Dexterous Manipulation | https://openreview.net/forum?id=KdaClHHEUt | [
"Dantong Niu",
"Zhuoyang Liu",
"Zekai Wang",
"Boning Shao",
"Zhao-Heng Yin",
"Anirudh Pai",
"Yuvan Sharma",
"Stefano Saravalle",
"Ruijie Zheng",
"Jing Wang",
"Ryan Punamiya",
"Mengda Xu",
"Yuqi Xie",
"Yunfan Jiang",
"Letian Fu",
"Konstantinos Kallidromitis",
"Matteo Gioia",
"Junyi ... | Poster | Multimodal perception, sensor fusion, and robot vision | The ability to react dynamically to tactile signals has long been considered crucial to agile human-level dexterity. Yet contemporary learning-based VLAs for robotic manipulation generally either overlook the tactile modality or are limited to encoders with static cues, in part due to the scarcity of diverse training ... | [
"Learning representations for robotic perception and control",
"Tactile",
"Dexterous Manipulation"
] | null | 241 | 2606.17055 | title_snapshot |
H7b56xK590 | TacCoRL: Integrating Tactile Feedback into VLA via Simulation | https://openreview.net/forum?id=H7b56xK590 | [
"Siyu Ma",
"Yuqi Liang",
"Chang Yu",
"Yunuo Chen",
"Hao Su",
"Yixin Zhu",
"Yin Yang",
"Chenfanfu Jiang"
] | Poster | Sim-to-real transfer | Vision-language-action (VLA) models provide strong visual, language, and action priors for robot manipulation, but visual observations alone often miss the local contact state required for contact-rich tasks. We present TacCoRL, a scalable framework that injects Tactile feedback into VLA policies and improves them thro... | [
"Robot manipulation",
"Tactile Feedback",
"Vision-Language-Action Models"
] | null | 246 | 2606.11743 | title_snapshot |
aITDcHSCTW | MemoryVAM: Integrating Memory into Video Action Model for Robot Manipulation | https://openreview.net/forum?id=aITDcHSCTW | [
"Yuxin Jiang",
"Chang Yu",
"Yunuo Chen",
"Xiang Feng",
"Yin Yang",
"Nishank Gite",
"Chenfanfu Jiang"
] | Poster | Video models and latent world models for robot learning | Video-world-model policies learn action-relevant representations by predicting future observations. However, they condition on only a short observation window, which renders long-horizon manipulation non-Markovian when the correct action depends on earlier events that are no longer visible. We present MemoryVAM, an epi... | [
"Robot foundation models and general-purpose knowledge systems",
"Episodic Memory",
"Long-Horizon Tasks"
] | null | 247 | 2606.20679 | title_snapshot |
HmdwOezjlQ | When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs | https://openreview.net/forum?id=HmdwOezjlQ | [
"Yu Fang",
"Yuchun Feng",
"Dong Jing",
"Jiaqi Liu",
"Yue Yang",
"Zhenyu Wei",
"Daniel Szafir",
"Mingyu Ding"
] | Spotlight | Benchmarks and datasets for robot learning | Vision-Language-Action models (VLAs) promise to ground language instructions in robot control, yet in practice often fail to faithfully follow language. When presented with instructions that lack strong scene-specific supervision, VLAs suffer from counterfactual failures: they act based on vision shortcuts induced by d... | [
"Robot foundation models and general-purpose knowledge systems"
] | null | 250 | 2602.17659 | title_snapshot |
kBoTnjRw4s | X-WBC: A Cross-Embodiment Foundation Model for Humanoid Whole-Body Control | https://openreview.net/forum?id=kBoTnjRw4s | [
"Juntong Zhang",
"Chun Gu",
"Li Zhang"
] | Poster | Reinforcement learning for physical robot control | Scaling humanoid whole-body control toward general-purpose deployment requires large human motion corpora and training experience shared across robot bodies. Existing methods usually train one policy per robot, leaving motion experience isolated across embodiments. We introduce X-WBC, a cross-embodiment whole-body cont... | [] | null | 255 | 2609.15213 | title_snapshot |
O7LrmASsJS | Hiking in the Wild: A Scalable Perceptive Legged Parkour Framework for Humanoid Robots | https://openreview.net/forum?id=O7LrmASsJS | [
"Shaoting Zhu",
"Ziwen Zhuang",
"Mengjie Zhao",
"Kun-Ying Lee",
"Hang Zhao"
] | Poster | Robot navigation and locomotion | Achieving robust humanoid locomotion in complex, unstructured environments requires transitioning from reactive proprioception to proactive perception. However, integrating exteroception remains a significant challenge: existing approaches often fail to achieve high-speed, stable locomotion across diverse, unstructured... | [
"Reinforcement learning for physical robot control",
"Humanoid locomotion",
"Perceptive locomotion"
] | null | 257 | 2601.07718 | title_judge |
6DFI1qPxPg | TTT-Parkour: Rapid Test-Time Training for Perceptive Legged Humanoid Parkour | https://openreview.net/forum?id=6DFI1qPxPg | [
"Shaoting Zhu",
"Baijun Ye",
"Jiaxuan Wang",
"Jiakang Chen",
"Ziwen Zhuang",
"Linzhan Mou",
"Runhan Huang",
"Hang Zhao"
] | Poster | Reinforcement learning for physical robot control | Achieving highly dynamic parkour with humanoid robots on complex terrains unseen during the pre-training stage remains a challenge in robotics. Although general locomotion policies demonstrate capabilities across broad terrain distributions, they often struggle with arbitrary and highly challenging environments. To ove... | [
"Robot navigation and locomotion",
"Test-time training",
"Perceptive locomotion"
] | null | 258 | 2602.02331 | title_judge |
r2uaBmvWgH | DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners? | https://openreview.net/forum?id=r2uaBmvWgH | [
"Jadelynn Dao",
"Milan Ganai",
"Yasmina Abukhadra",
"Ajay Sridhar",
"Mozhgan Nasr Azadani",
"Katie Z Luo",
"Clark Barrett",
"Jiajun Wu",
"Chelsea Finn",
"Marco Pavone"
] | Poster | Robot foundation models and general-purpose knowledge systems | Vision-Language Models (VLMs) are increasingly deployed as high-level planners for embodied agents, with an emerging strategy of scaling test-time compute to improve capability. However, we observe that doing so increases latency, token usage, and FLOPs while yielding uneven, often diminishing gains in downstream succe... | [
"Hierarchical Embodied Planning",
"Test-Time Compute"
] | null | 262 | 2606.12402 | title_snapshot |
QAHhXvXHtb | YUBI: Yielding Universal Bidigital Interface for Bimanual Dexterous Manipulation at Scale | https://openreview.net/forum?id=QAHhXvXHtb | [
"Takehiko Ohkawa",
"Jumpei Arima",
"Yuki Noguchi",
"Masatoshi Tateno",
"Makoto Sugiura",
"Takuya Okubo",
"Kengo Ikeuchi",
"Yuma Shin",
"Hiroki Nishizawa",
"Naoaki Kanazawa",
"Yuki Wakayama",
"Daiki Fukunaga",
"Koshi Makihara",
"Tomohiro Motoda",
"Floris Marc Arden Erich",
"Yukiyasu Dom... | Poster | Robotic data generation | We introduce Yielding Universal Bidigital Interface (YUBI), a finger-aligned gripper designed to enable intuitive, ergonomic, and scalable data collection for bimanual dexterous manipulation. While handheld data collection systems such as Universal Manipulation Interface (UMI) enable affordable data collection, their b... | [
"Hardware design and optimization",
"UMI"
] | null | 267 | 2606.10244 | title_snapshot |
FuxTpvfYnh | One-Step World Models for Multi-Modal Goal Navigation | https://openreview.net/forum?id=FuxTpvfYnh | [
"wangtian shen",
"Ziyang Meng",
"Jinming Ma",
"mingliang zhou",
"Diyun Xiang"
] | Poster | Robot navigation and locomotion | World-model-based planning is a promising direction for robot navigation because it enables explicit prediction of future observations under candidate actions. However, existing navigation world models typically rely on multi-step diffusion and autoregressive frame generation, which substantially increases model-side l... | [
"World Model",
"Multi-Modal Goal Navigation"
] | null | 269 | 2601.12277 | title_judge |
nYkpEYmvbg | SPAN-Nav: Generalized Spatial Awareness for Embodied Navigation | https://openreview.net/forum?id=nYkpEYmvbg | [
"Jiahang Liu",
"Tianyu Xu",
"Jiawei Chen",
"Lu Yue",
"Jiazhao Zhang",
"Zhiyong Wang",
"Minghan Li",
"Qisheng Zhao",
"Anqi Li",
"Qi Su",
"Zhizheng Zhang",
"He Wang"
] | Poster | Robot navigation and locomotion | Recent embodied navigation methods leveraging Vision-Language Models (VLMs) have shown strong generalization. However, reliable path planning in complex environments remains challenging due to insufficient spatial awareness. The key challenge lies in learning spatial awareness that generalizes across diverse scenes and... | [
"Robot foundation models and general-purpose knowledge systems"
] | null | 270 | 2603.09163 | title_judge |
wMrKZ9eYBg | LAPT-Scale: Scaling Embodied Policies with Latent Action Pre-Training on Human Videos | https://openreview.net/forum?id=wMrKZ9eYBg | [
"Zhiyuan Xiang",
"Peidong Liu",
"Mingyang Li",
"Jiawei Li",
"Wenhow Li",
"Wenbo Ding",
"Xiang Deng"
] | Poster | Robot foundation models and general-purpose knowledge systems | Scaling generalist robotic policies is limited by the high cost of collecting embodied interaction data. Large-scale egocentric human videos offer a rich alternative, but they lack robot action labels, and existing action annotation methods are often noisy under real-world visual complexity and diverse manipulation dyn... | [
"Learning representations for robotic perception and control",
"Latent action learning from human videos for robot policy pre-training",
"Scaling robot policies with human-video supervision"
] | null | 271 | 2610.13732 | title_snapshot |
gn0kBXdK0G | DeCAL: Towards Physically-Grounded Dexterous Vision-Language-Action Models via Contact-Aware Latent Co-Imagination | https://openreview.net/forum?id=gn0kBXdK0G | [
"Yankai Fu",
"Ning Chen",
"Junkai Zhao",
"Heng Zhang",
"Guocai Yao",
"Pengwei Wang",
"Zhongyuan Wang",
"Shanghang Zhang"
] | Poster | Multimodal perception, sensor fusion, and robot vision | Dexterous manipulation involves contact-rich and fine-grained interactions with the physical world, posing significant challenges for existing vision-language-action (VLA) models due to severe visual occlusions and complex contact dynamics. While recent works have incorporated tactile sensing into robotic manipulation,... | [
"Imitation learning (behavioral cloning, inverse RL)",
"Tactile VLA",
"Dexterous Manipulation"
] | null | 272 | 2609.09119 | title_snapshot |
ndhpQ86iXs | Watch, Recall, Act: Always-On Robots in Concurrent Embodied Streams | https://openreview.net/forum?id=ndhpQ86iXs | [
"Ding Yi",
"Peiwen Sun",
"Chenchu Rong",
"Jianan Wang",
"Xili Dai",
"Xiangyu Yue",
"Xi Lin"
] | Poster | Multimodal perception, sensor fusion, and robot vision | An always-on robot faces an endless stream that never resets: instructions arrive and lapse, the scene changes, and its own past actions reshape what it must reason about. Today's action models are built for the opposite: a fixed instruction, no mid-task intervention, single-step reasoning. In an open-ended world a rob... | [
"Robotic data generation",
"Streaming Video Model"
] | null | 280 | 2609.28429 | title_snapshot |
X4i3kSa2kd | ExtremControl: Low-Latency Humanoid Teleoperation with Scaled Velocity Feedforward | https://openreview.net/forum?id=X4i3kSa2kd | [
"Ziyan Xiong",
"Lixing Fang",
"Junyun Huang",
"Kashu Yamazaki",
"Hao Zhang",
"Chuang Gan"
] | Poster | Reinforcement learning for physical robot control | Building a low-latency humanoid teleoperation system is essential for collecting diverse reactive and dynamic demonstrations. However, end-to-end latencies in existing approaches consistently hover around 200ms, roughly equal to human reaction time, that severely limits responsiveness and prevents tasks requiring rapid... | [] | null | 285 | 2602.11321 | title_snapshot |
wHAVgmIwj3 | Geometry-Aware Absolute Pose Regression via Geometric Pose Proxy | https://openreview.net/forum?id=wHAVgmIwj3 | [
"YI ZHANG",
"Longguang Wang",
"Zhiheng Fu",
"Ye Zhang",
"Yueqiang Zhang",
"Yulan Guo"
] | Poster | Robot navigation and locomotion | Absolute pose regression (APR) provides an attractive route to real-time camera relocalization through a single feed-forward pass. However, the image-to-pose formulation hides the perspective and scene geometries that make localization well constrained, limiting its accuracy. To address this mismatch, we reformulate AP... | [] | null | 287 | null | null |
lHDmYo4bzs | SEED-UMI: Sharing the Exoskeleton between human and robot for onE-to-one Dexterous demonstration | https://openreview.net/forum?id=lHDmYo4bzs | [
"Tengbo Yu",
"Jiahao Wu",
"Daohan Li",
"Bingxu Chen",
"Hao Liu",
"Xiaojian Ma",
"Hangxin Liu"
] | Poster | Hardware design and optimization | Imitation learning for dexterous hands is bottlenecked by the difficulty of collecting contact-rich demonstrations that transfer faithfully to the robot. Prior wearable-exoskeleton systems record only on the human side and retarget via open-loop mappings calibrated in free space, which degrade under contact. We present... | [
"Robot systems, hardware, and sensors for learning"
] | null | 291 | 2609.11753 | title_snapshot |
05nE8s5e7I | FlashVLA: Streaming Action Decoding for Fast and Asynchronous VLA Inference | https://openreview.net/forum?id=05nE8s5e7I | [
"Zekai Li",
"Jiaming Tang",
"Zhijian Liu"
] | Poster | Robot foundation models and general-purpose knowledge systems | Vision-Language-Action (VLA) models are promising for end-to-end robotic manipulation, but their real-world deployment is bottlenecked by inference latency, especially the iterative action denoising with flow-matching. Existing remedies only address a single side: efficient-inference methods make each forward pass chea... | [
"Imitation learning (behavioral cloning, inverse RL)",
"Vision-Language-Action Model"
] | null | 292 | 2608.27384 | title_snapshot |
0o1c1Xxn1m | AmodalBox: Automated 3D Bounding Box Annotation under Partial Visibility | https://openreview.net/forum?id=0o1c1Xxn1m | [
"In-Jae Lee",
"Namtae Kim",
"Robert Exley",
"Kwonyoung Ryu",
"Jaesik Park"
] | Poster | Autonomous driving and flight | Recent progress in vision foundation models (VFMs) has made automated open-vocabulary 3D bounding box annotation increasingly feasible by jointly leveraging LiDAR point clouds and images. However, partial observation remains a major challenge in sparse driving scenes, where visible LiDAR points often cover only a small... | [
"Multimodal perception, sensor fusion, and robot vision",
"Automated Annoation",
"Open-vocabulary 3D Object Detection"
] | null | 293 | null | null |
iXJWieKME1 | F2F-AP: Flow-to-Future Asynchronous Policy for Real-time Dynamic Manipulation | https://openreview.net/forum?id=iXJWieKME1 | [
"Haoyu Wei",
"Xiuwei Xu",
"Ziyang Cheng",
"Hang Yin",
"Angyuan Ma",
"Bingyao Yu",
"Jie Zhou",
"Jiwen Lu"
] | Poster | Imitation learning (behavioral cloning, inverse RL) | Asynchronous inference has emerged as a prevalent paradigm in robotic manipulation, achieving significant progress in ensuring trajectory smoothness and efficiency. However, a systemic challenge remains unresolved, as inherent latency causes generated actions to inevitably lag behind the real-time environment. This iss... | [
"Robot manipulation"
] | null | 295 | 2604.02408 | title_snapshot |
yyitbtz7rQ | CMP: Robust Whole-Body Tracking for Loco-Manipulation via Competence Manifold Projection | https://openreview.net/forum?id=yyitbtz7rQ | [
"Ziyang Cheng",
"Haoyu Wei",
"Hang Yin",
"Xiuwei Xu",
"Bingyao Yu",
"Jie Zhou",
"Jiwen Lu"
] | Spotlight | Reinforcement learning for physical robot control | While decoupled control schemes for legged mobile manipulators have shown robustness, learning holistic whole-body control policies for tracking global end-effector poses remains fragile against Out-of-Distribution (OOD) inputs induced by sensor noise or infeasible user commands. To guarantee safety under these perturb... | [
"Robot manipulation",
"Whole-body control",
"Out-of-distribution robustness"
] | null | 297 | 2604.07457 | title_snapshot |
r7ZN8cPEcj | MAGMA-GEN: Validated Recovery Supervision from Ambiguous Failures via Counterfactual Re-Execution | https://openreview.net/forum?id=r7ZN8cPEcj | [
"Loan BERNAT",
"Matthieu Grard",
"Ariane Herbulot",
"Florent Lamiraux"
] | Poster | Human-robot interaction and natural language instruction | Hierarchical robotic systems executing long-horizon manipulation tasks must make high-level semantic decisions that orchestrate stochastic low-level skills. In this setting, failed rollouts are ambiguous: a poor downstream state may reflect an invalid high-level decision, partial observation, or a valid decision whose ... | [
"Combination of learning and planning in robotics",
"Data Generation",
"Robot Manipulation"
] | null | 301 | 2609.20056 | title_snapshot |
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