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A novel closed-loop framework enables multi-robot systems to achieve robust manipulation by integrating LLMs with real-time feedback mechanisms.
A single operator, aided by an MLLM-based agent, can achieve data collection success rates comparable to expert dual-human teams in complex multi-arm tasks.
Forget ad-hoc VLA design: here are 12 key ingredients, validated in a unified framework, for building performant Vision-Language-Action models.
