AI & ML
impact 16
Bimanual Robot Manipulation via Multi-Agent In-Context Learning
Bimanual Robot Manipulation via Multi-Agent In-Context Learning arXiv:2604.20348v1 Announce Type: cross Abstract: Language Models (LLMs) have emerged as powerful reasoning engines for embodied control. In particular, Inβ¦
Why it matters
This signals a broader shift in bimanual. The real question is whether robot moves the needle for practitioners.