Reinforcement learning for path planning of free-floating space robotic manipulator with collision avoidance and observation noise
This study introduces a novel approach for the path planning of a 6-degree-of-freedom free-floating space robotic manipulator, focusing on collision and obstacle avoidance through reinforcement learning. It addresses the challenges of dynamic coupling between the spacecraft and the robotic manipulat...
| Autores principales: | , |
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| Formato: | Artículo |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2024-05-01
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| Colección: | Frontiers in Control Engineering |
| Materias: | |
| Acceso en línea: | https://www.frontiersin.org/articles/10.3389/fcteg.2024.1394668/full |