AI RESEARCH
MALLVI: A Multi-Agent Framework for Integrated Generalized Robotics Manipulation
arXiv CS.AI
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ArXi:2602.16898v4 Announce Type: replace-cross Task planning for robotic manipulation with large language models (LLMs) is an emerging area. Prior approaches rely on specialized models, fine tuning, or prompt tuning, and often operate in an open loop manner without robust environmental feedback, making them fragile in dynamic settings. MALLVI presents a Multi Agent Large Language and Vision framework that enables closed-loop feedback driven robotic manipulation.