Abstract: The traditional path-exploring Random Trees (RRT) algorithm has the defects of low search efficiency and high path curvature. Based on the basic RRT algorithm, target bias strategy and ...
THIS SOFTWARE IS FOR RESEARCH AND EDUCATIONAL PURPOSES ONLY. DO NOT USE ON REAL ROBOTS WITHOUT PROPER SAFETY REVIEW AND TESTING. This project includes simulation environments and path planning ...
In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.
Bidirectional sampling-based motion planner for high-dimensional configuration spaces, focusing on implementing RRT-Connect with greedy tree extension, and accelerated convergence in constrained ...
In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.
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