Bidirectional sampling-based motion planner for high-dimensional configuration spaces, focusing on implementing RRT-Connect with greedy tree extension, and accelerated convergence in constrained ...
Abstract: The traditional Rapidly-exploring Random Tree Star (RRT*) suffers from the low path generation efficiency, numerous invalid exploration points, and unsuitability for navigation in unknown ...
This project demonstrates an application of the Rapidly-exploring Random Tree (RRT) algorithm, commonly used in robotics for efficient motion planning in high-dimensional or obstacle-filled ...
Abstract: The sampling-based RRT* algorithm has been extensively employed for path planning. The improved variant, F-RRT*, significantly reduces the initial cost by generating new nodes; however, it ...
ABSTRACT: Surrogate-assisted evolutionary algorithms are widely used to solve expensive optimization problems due to their high search efficiency. However, a single model struggles to fit various ...
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