Learning-in-the-loop optimization: End-to-end control and co-design of soft robots through learned deep latent representations
Soft robots have continuum solid bodies that can deform in an infinite number of ways. Controlling soft robots is very challenging as there are no closed form solutions. We present a learning-in-the-loop co-optimization algorithm in which a latent state representation is learned as the robot figures...
| Main Authors: | , , , , , |
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
2021-02-17T19:32:13Z.
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| Subjects: | |
| Online Access: | Get fulltext |