Text2Robot: Evolutionary Robot Design from Text Descriptions
This enables rapid prototyping for robot designers, though it appears incremental as it builds on existing text-to-3D and optimization methods.
The authors tackled the problem of costly and labor-intensive robot design by introducing Text2Robot, a framework that converts user text specifications into physical quadrupedal robots, producing a walking robot within a day by co-optimizing geometry and control while considering real-world constraints.
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.