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Paper collection on building and evaluating language model agents via executable language grounding
[IROS24 Oral]ManipVQA: Injecting Robotic Affordance and Physically Grounded Information into Multi-Modal Large Language Models
Official implementation of Matcha-agent, https://arxiv.org/abs/2303.08268
A hierarchical Large Language Models (LLMs) framework for real-time multi-robot task allocation and target tracking with unknown hazards.
Official code repository for CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models
It is a repository to prepare a demo for dansing robot.