Koopman Operator–Based Knowledge-Guided Reinforcement Learning for Safe Human–Robot Interaction
We developed a novel framework for deep reinforcement learning (DRL) algorithms in task constrained path generation problems of robotic manipulators leveraging human demonstrated trajectories. The main contribution of this article is to design a reward function that can be used with generic reinforc...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |