Feb. 9, 2024, 5:47 a.m. | Jiaqiang Ye Zhu Carla Gomez Cano David Vazquez Bermudez Michal Drozdzal

cs.CL updates on arXiv.org arxiv.org

One of the challenges in robotics is to enable robotic units with the reasoning capability that would be robust enough to execute complex tasks in dynamic environments. Recent advances in LLMs have positioned them as go-to tools for simple reasoning tasks, motivating the pioneering work of Liang et al. [35] that uses an LLM to translate natural language commands into low-level static execution plans for robotic units. Using LLMs inside robotics systems brings their generalization to a new level, enabling …

advances capability challenges context control cs.ai cs.cl cs.ro dynamic environments feedback in-context learning llms reasoning robotic robotics robust simple tasks them tools units work

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