Datasets:

ai-conferences
/

CoRL2026

paper_id stringlengths 10 10	title stringlengths 19 132	paper_url stringlengths 42 42	authors listlengths 1 85	type stringclasses 3 values	primary_area stringclasses 22 values	abstract large_stringlengths 667 2.27k	keywords listlengths 0 3	TL;DR large_stringclasses 0 values	submission_number int64 5 2.66k	arxiv_id stringlengths 10 10 ⌀	arxiv_id_source stringclasses 2 values
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

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Accepted papers for CoRL (Conference on Robot Learning), one dataset per year. • 10 items • Updated 3 days ago