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Text2Robot: Evolutionary Robot Design from Text Descriptions

Authors :
Ringel, Ryan P.
Charlick, Zachary S.
Liu, Jiaxun
Xia, Boxi
Chen, Boyuan
Publication Year :
2024

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.<br />Comment: Our project website is at: http://generalroboticslab.com/Text2Robot

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2406.19963
Document Type :
Working Paper