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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245025/ https://www.ncbi.nlm.nih.gov/pubmed/35783024 http://dx.doi.org/10.3389/frobt.2022.779194 |