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
Official code repository for CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models
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.
Robot escape game + semantic graph navigation in Python.
Embodied validation suite for the Spiral‑Time Governor (STG), demonstrating deterministic safety filtering for LLM‑controlled quadruped locomotion in MuJoCo. Includes synthetic and physics‑based experiments, reproducible pipelines, and figure generation for the STG v2.2 paper.
MCP server to link your robots to any AI assistant
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