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: As the application of robotic technology in complex environments continues to expand, efficient path planning algorithms have become crucial. AM-RRT*, a variant of the rapidly exploring ...
Abstract: The Rapidly-exploring Random Tree (RRT) algorithm exhibits limited path information reuse and suboptimal search efficiency in multi-target continuous motion planning for high-dimensional ...
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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