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The Grey Wolf Optimizer for PathPlanning is a MATLAB-based implementation of the Grey Wolf Optimizer (GWO) algorithm designed for UAV path and trajectory planning. It allows simulation of both two-dimensional and three-dimensional UAV trajectory planning depending on parameter setups. The tool provides built-in functions to configure different UAV environments and supports multiple optimization objectives.
An easy to extend, highly graphical, easy to use 2D robot simulator specialized for pathplanning algorithms. Can be used in testing various robotic algorithms, and already used for comparison of pathplanning algorithms like RRT, RRTConnect, PRM, RboT..
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Plantra-Trajectory Planning is a software to rebuild surfaces from cloud points, featuring shaded 3D visualization and pathplanning for robotics paths. It uses Voronoi diagram, Cyrus-Beck clipping, Delaunay triangulation and B-Splines.
CoPP is an object-oriented framework for developing algorithms for robot pathplanning. One of of the design goals is to make it easy to make comparisons between various pathplanning algorithms.