This project implements a Probabilistic Roadmap (PRM) for robot path planning in environments with obstacles. The PRM uses random sampling to generate nodes in the robot's configuration space and ...
generate a number of sample points uniformly at random, check each point for collision, leave samples in free config space only. The number of generated points is specified by N_NODES parameter; Add ...
Abstract: This paper presents a novel path planning algorithm for unmanned underwater vehicles (UUVs) that arises by combining two well-known algorithms in such a way as to exploit their respective ...
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