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Computationally fast and time-optimal trajectory planner.
Implementation of some path planning algorithms.
Real-time algorithms for following a given path while avoiding initially unknown static obstacles.
Computes free splittings of graph braid groups.
Demonstrate how obstacles in xyz space can be translated into C Space coordinates
ENPM661 Project 2: A point robot uses the Dijkstra search algorithm to find a goal node in a configuration space, while avoiding the obstacles in the map
Computes presentations of graph braid groups.
A collection of motion planning projects in Python 3 and YAML
Utilities for generating and visualizing a configuration space with 3D obstacles to test pathfinding algorithms
Rutgers CS 2-Link Arm Configuration Space
Solver for 2D kinematic chain with one revolute joint. Includes path finding (with constraints).