Paper collection on building and evaluating language model agents via executable language grounding
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Updated
Apr 29, 2024
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.
It is a repository to prepare a demo for dansing robot.
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