Deep Reinforcement Learning-Based Enhancement of Robotic Arm Target-Reaching Performance

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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Bibliographic Details
Main Authors: Ldet Honelign, Yoseph Abebe, Abera Tullu, Sunghun Jung
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Actuators
Subjects:
deep reinforcement learning
robotic arm manipulator
OpenAI Gym
PyBullet
Panda Gym
Online Access:https://www.mdpi.com/2076-0825/14/4/165
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