Cliff: Learning Process Rewards from the First Mistake Paper • 2609.02817 • Published 17 days ago • 19
Ego2Robot: Scalable Robot Data Synthesis from Egocentric Human Data Paper • 2608.02580 • Published Aug 3 • 27
Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning Paper • 2607.21653 • Published Jul 22 • 33
RynnBrain 1.1: Towards More Capable and Generalizable Embodied Foundation Model Paper • 2607.17977 • Published Jul 20 • 63
Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning Stack Paper • 2606.14409 • Published Jun 12 • 16
OASIS: From Simulation Data Collection to Real-World Humanoid Loco-Manipulation Paper • 2606.08548 • Published Jun 7 • 3
Physical AI Collection Collection of open, commercial-grade datasets for physical AI developers • 57 items • Updated Aug 11 • 182
Soap2Soap: Long Cinematic Video Remaking via Multi-Agent Collaboration Paper • 2605.17423 • Published May 17 • 31
MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research Paper • 2605.26114 • Published May 25 • 63
On-Policy Adversarial Flow Distillation for Autoregressive Video Generation Paper • 2605.26105 • Published May 25 • 20
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Paper • 2605.24426 • Published May 23 • 8
Equilibrium Reasoners: Learning Attractors Enables Scalable Reasoning Paper • 2605.21488 • Published May 20 • 7
GenRecon: Bridging Generative Priors for Multi-View 3D Scene Reconstruction Paper • 2605.23888 • Published May 22 • 15