Graph neural network based method for robot path planning
Sampling-based path planning is widely used in robotics, particularly in high-dimensional state spaces. In the path planning process, collision detection is the most time-consuming operation. Therefore, we propose a learning-based path planning method that reduces the number of collision checks. We...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-03-01
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Series: | Biomimetic Intelligence and Robotics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2667379724000056 |