Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Paper • 2607.21655 • Published 11 days ago • 192
HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Paper • 2607.25895 • Published 5 days ago • 145
ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU Paper • 2607.19191 • Published 11 days ago • 306
RynnBrain 1.1: Towards More Capable and Generalizable Embodied Foundation Model Paper • 2607.17977 • Published 13 days ago • 198
X-Lens: Real-Time Metric Depth Estimation with Heterogeneous Cameras Paper • 2607.12993 • Published 19 days ago • 131
RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation Paper • 2607.06558 • Published 26 days ago • 79
On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Paper • 2606.02437 • Published Jun 1 • 241
Crafter: A Multi-Agent Harness for Editable Scientific Figure Generation from Diverse Inputs Paper • 2605.30611 • Published May 28 • 253
AsyncTool: Evaluating the Asynchronous Function Calling Capability under Multi-Task Scenarios Paper • 2605.27995 • Published May 27 • 16