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Text2Robot: Evolutionary Robot Design from Text Descriptions

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arxiv 2406.19963 v3 pith:57SNVC7Z submitted 2024-06-28 cs.RO cs.AIcs.LG

classification cs.ROcs.AIcs.LG
keywords designrobottext2robotmodelsrobotstextadvancementsalgorithms
verification ladder T0 review T1 audit T2 compute T3 formal
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Robot design has traditionally been costly and labor-intensive. Despite advancements in automated processes, it remains challenging to navigate a vast design space while producing physically manufacturable robots. We introduce Text2Robot, a framework that converts user text specifications and performance preferences into physical quadrupedal robots. Within minutes, Text2Robot can use text-to-3D models to provide strong initializations of diverse morphologies. Within a day, our geometric processing algorithms and body-control co-optimization produce a walking robot by explicitly considering real-world electronics and manufacturability. Text2Robot enables rapid prototyping and opens new opportunities for robot design with generative models.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. VLMgineer: Vision Language Models as Robotic Toolsmiths

    cs.RO 2025-07 conditional novelty 6.0 of 10

    VLMgineer combines VLM-generated URDF tool designs with evolutionary search to co-design tools and action plans, outperforming human-specified and existing tools on a new simulated manipulation benchmark.

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