Text2Robot: Evolutionary Robot Design from Text Descriptions

Jiaxun Liu

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.