A fuzzy-TD3 hybrid reinforcement learning framework for robust trajectory tracking of the Mitsubishi RV-2AJ robotic arm
Abstract This paper proposes a novel hybrid control architecture that synergistically integrates a fuzzy logic system with the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm to achieve precise, robust trajectory tracking for a 5-degree-of-freedom (5-DOF) robotic manipulator. The des...
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Nature Portfolio
2026-03-01
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| Collection: | Scientific Reports |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1038/s41598-026-42615-8 |
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