Deep Reinforcement Learning-Based Enhancement of Robotic Arm Target-Reaching Performance
This work investigates the implementation of the Deep Deterministic Policy Gradient (DDPG) algorithm to enhance the target-reaching capability of the seven degree-of-freedom (7-DoF) Franka Pandarobotic arm. A simulated environment is established by employing OpenAI Gym, PyBullet, and Panda Gym. Afte...
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| Glavni autori: | , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2025-03-01
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| Serija: | Actuators |
| Teme: | |
| Online pristup: | https://www.mdpi.com/2076-0825/14/4/165 |
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