3 papers
cs.RO2026
Motus2: A Self-Evolving General World Model for Dexterous Manipulation
Hongzhe Bi, Zihao Zhou, Yihang Tang +16
General embodied agents should perceive, predict, act, evaluate, and improve within a unified system. World models have shown great promise in building such agents, yet existing mo…
cs.RO2026
Teaching Tiny VLA Models Where to Look and How to Move
Iok Tong Lei, Ying Jie Yap, Wei Huang +5
Tiny Vision-Language-Action models are appealing for real-time robotic control, but reducing model scale often weakens two capabilities essential for manipulation: task-conditioned…
cs.RO2026
ACE: Agentic Control for Embodied Manipulation via Zero-shot Workflow Reasoning
Iok Tong Lei, QianZhi Li, Ying Jie Yap +5
Open-ended tabletop manipulation requires agents to not only understand natural language but also adapt to dynamic environments and execution failures. We present ACE (Agentic Cont…