Computationally fast and time-optimal trajectory planner.

XMoP: Whole-Body Control Policy for Zero-shot Cross-Embodiment Neural Motion Planning

This repository represents my work through out the "Robotics: Computational Motion Planning" course offered by University of Pennsylvania which is available on Coursera onlilne learning platform.

Implementation of some path planning algorithms.

Demonstrate how obstacles in xyz space can be translated into C Space coordinates

Real-time algorithms for following a given path while avoiding initially unknown static obstacles.

Computes free splittings of graph braid groups.

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

A collection of motion planning projects in Python 3 and YAML

Computes presentations of graph braid groups.

Utilities for generating and visualizing a configuration space with 3D obstacles to test pathfinding algorithms

Path Finding Task

Rutgers CS 2-Link Arm Configuration Space

Solver for 2D kinematic chain with one revolute joint. Includes path finding (with constraints).