Text2Robot: Evolutionary Robot Design from Text Descriptions

Ryan P. Ringel, Zachary S. Charlick, Jiaxun Liu, Boxi Xia, Boyuan Chen
6/28/2024
cs.ROcs.AIcs.LG

No official code found. Best implementation: generalroboticslab/Text2Robot (97 stars, Apache-2.0, last commit 2026-03-12).

Abstract

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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Code Implementations(1)

Apache-2.0

text2robot is an open-source project leveraging text-to-mesh generative models to create robotic designs, which are then optimized using evolutionary algorithms based on user-specified aesthetics and performance criteria. The repository offers tools and documentation for generating, simulating, and refining robotic meshes.

9714Shell, PythonJun 24, 20247 months agoApache-2.0

Cite this paper

@article{ringel2024textrobot,
  title  = {Text2Robot: Evolutionary Robot Design from Text Descriptions},
  author = {Ryan P. Ringel and Zachary S. Charlick and Jiaxun Liu and Boxi Xia and Boyuan Chen},
  year   = {2024},
  eprint = {2406.19963},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2406.19963v3}
}

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