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 • 147
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
LongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU Budget Paper • 2607.14952 • Published 17 days ago • 205
AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities Paper • 2607.13705 • Published 18 days ago • 45
X-Lens: Real-Time Metric Depth Estimation with Heterogeneous Cameras Paper • 2607.12993 • Published 19 days ago • 131
Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable Paper • 2607.13285 • Published 19 days ago • 231
RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation Paper • 2607.06558 • Published 26 days ago • 79
Where to Look: Can Foundation Models Reach a Target Viewpoint Through Active Exploration? Paper • 2606.01247 • Published May 31 • 31