Using First Principles for Deep Learning and Model-Based Control of Soft Robots
Model-based optimal control of soft robots may enable compliant, underdamped platforms to operate in a repeatable fashion and effectively accomplish tasks that are otherwise impossible for soft robots. Unfortunately, developing accurate analytical dynamic models for soft robots is time-consuming, di...
Main Authors: | Curtis C. Johnson, Tyler Quackenbush, Taylor Sorensen, David Wingate, Marc D. Killpack |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-05-01
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Series: | Frontiers in Robotics and AI |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/frobt.2021.654398/full |
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