Co-Optimization and Co-Learning Methods for Automated Design of Rigid and Soft Robots
Nature demonstrates an incredible diversity, capability, and complexity of life, with organisms that can robustly run, jump, and swim. Compared with their biological brethren, robotic "life" lacks rich dexterity or economy of motion, and their plainly simple designs indicate room for impr...
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Format: | Thesis |
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Massachusetts Institute of Technology
2022
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Online Access: | https://hdl.handle.net/1721.1/140163 https://orcid.org/0000-0002-6937-6204 |