World Action Learning via Interaction-Centric Spectral Latent Guidance Paper • 2610.03607 • Published 8 days ago • 35
SlimWise: Decoupling Expert Pruning Across Prefill and Decode for Efficient MoE Serving Paper • 2609.34117 • Published 12 days ago • 20
Embodied-AI-6/blue_so101_color_blocks_10ep_v1_20260526_175604 SO-101 • Updated May 26 • 10 episodes • 3.21k • 7
When to Switch: Reliable Action-Chunk Extension for Vision-Language-Action Models Paper • 2610.05719 • Published 5 days ago • 31
UndoBench: Separating Task Competence from Recovery Capability in Tool-Using AI Agents Paper • 2610.05622 • Published 6 days ago • 21
MotorMind: Scaffolding General Vision Language Models for Zero-Shot Robot Manipulation Paper • 2609.38078 • Published 11 days ago • 111
PointWAM: 3D World Action Modeling for Dexterous Robotic Manipulation Paper • 2610.02840 • Published 8 days ago • 61
Learning from Runtime Feedback through Failure-Bank Self-Evolution for Vision-Language-Action Models Paper • 2609.39820 • Published 10 days ago • 29
Benchmarking and Enhancing Skill-Level Memory for Partially Observable Robotic Manipulation Paper • 2609.38886 • Published 10 days ago • 27