Text2Robot: Evolutionary Robot Design from Text Descriptions
June 28, 2024 Β· Declared Dead Β· π IEEE International Conference on Robotics and Automation
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Authors
Ryan P. Ringel, Zachary S. Charlick, Jiaxun Liu, Boxi Xia, Boyuan Chen
arXiv ID
2406.19963
Category
cs.RO: Robotics
Cross-listed
cs.AI,
cs.LG
Citations
9
Venue
IEEE International Conference on Robotics and Automation
Last Checked
4 months ago
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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