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Reinforcement Learning-Based Reactive Obstacle Avoidance Method for Redundant Manipulators
Redundant manipulators are widely used in fields such as human-robot collaboration due to their good flexibility. To ensure efficiency and safety, the manipulator is required to avoid obstacles while tracking a desired trajectory in many tasks. Conventional methods for obstacle avoidance of redundan...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870767/ https://www.ncbi.nlm.nih.gov/pubmed/35205573 http://dx.doi.org/10.3390/e24020279 |