Text2Robot: Evolutionary Robot Design from Text Descriptions
<|reference_start|>Text2Robot: Evolutionary Robot Design from Text Descriptions: 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.<|reference_end|>
@article{ringel2024text2robot:,
    title={Text2Robot: Evolutionary Robot Design from Text Descriptions},
    author={Ryan P. Ringel, Zachary S. Charlick, Jiaxun Liu, Boxi Xia, Boyuan Chen},
    journal={arXiv preprint arXiv:2406.19963},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.19963},
    primaryClass={cs.RO cs.AI cs.LG}
}