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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.19963 |
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| _version_ | 1866917936054140928 |
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| author | Ringel, Ryan P. Charlick, Zachary S. Liu, Jiaxun Xia, Boxi Chen, Boyuan |
| author_facet | Ringel, Ryan P. Charlick, Zachary S. Liu, Jiaxun Xia, Boxi Chen, Boyuan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_19963 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Text2Robot: Evolutionary Robot Design from Text Descriptions Ringel, Ryan P. Charlick, Zachary S. Liu, Jiaxun Xia, Boxi Chen, Boyuan Robotics Artificial Intelligence Machine Learning 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. |
| title | Text2Robot: Evolutionary Robot Design from Text Descriptions |
| topic | Robotics Artificial Intelligence Machine Learning |
| url | https://arxiv.org/abs/2406.19963 |