SOURCE-LINKED INTELLIGENCE
Bridging Language and Physics: Automated Design of Continuum Robots with Large Language Models
Large language models (LLMs) have recently emerged as a promising tool for automating robot design from high-level specifications, yet they remain ineffective for robots operating under complex physical interactions. This limitation stems from the gap between language-based reasoning and the physical consequences of embodiment, often resulting in designs with low physical validity. In this work, we propose a multi-layered framework, AID-SR, that establishes a closed loop by translating simulator-observed physical states into structured feedback for the LLM designer. Combined with semantic crit
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-08T04:02:59.000Z
First collected: 2026-09-20T20:22:01.598Z. This is not the publication date.