Text2Robot: Evolutionary Robot Design from Text Descriptions
Ryan P. Ringel, Zachary S. Charlick, Jiaxun Liu, Boxi Xia, Boyuan Chen
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. Our website is at http://generalroboticslab.com/Text2Robot/.
BibTeX
@inproceedings{icra2025_text2robotevolut,
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},
booktitle = {ICRA 2025},
year = {2025}
}