Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA Paper • 2608.09819 • Published 7 days ago • 332
Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Paper • 2607.21655 • Published 26 days ago • 193
HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Paper • 2607.25895 • Published 20 days ago • 156
ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU Paper • 2607.19191 • Published 26 days ago • 311
RynnBrain 1.1: Towards More Capable and Generalizable Embodied Foundation Model Paper • 2607.17977 • Published 28 days ago • 198
X-Lens: Real-Time Metric Depth Estimation with Heterogeneous Cameras Paper • 2607.12993 • Published Jul 14 • 131
Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable Paper • 2607.13285 • Published Jul 14 • 233
RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Paper • 2607.06559 • Published Jul 7 • 95