Research on tracking strategy of manipulator based on fusion reward mechanism
Deep reinforcement learning algorithms are widely used in the field of robot control. Sparse reward signals lead to blind exploration, affecting the efficiency of the manipulator during path planning for multi-axis systems at any given end-effector start and target position. To address the problem o...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2025-02-01
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| Series: | AIMS Electronics and Electrical Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/electreng.2025006 |
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