A Novel Hybrid Path Planning Method Based on Q-Learning and Neural Network for Robot Arm
Path planning for robot arms to reach a target and avoid obstacles has had a crucial role in manufacturing automation. Although many path planning algorithms, including RRT, APF, PRM, and RL-based, have been presented, they have many problems: a time-consuming process, high computational costs, slow...
Main Authors: | Ali Abdi, Dibash Adhikari, Ju Hong Park |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/15/6770 |
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