Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pure Pursuit etc.
Motion planning(Path Planning and Trajectory Planning/Tracking) of AGV/AMR：python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, Voronoi, PID, DWA, APF, LQR, MPC, RPP, Bezier, Dubins etc.
Motion planning and Navigation of AGV/AMR：matlab implementation of Dijkstra, A*, Theta*, JPS, D*, LPA*, D* Lite, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, LQR, MPC, APF, RPP, DWA, DDPG, Bezier, B-spline, Dubins, Reeds-Shepp etc.
Path plan algorithm, include: A*, APF(Artificial Potential Field)
Cooperative Attack Algorithm for UAVs is focusing on the cooperative attack problem of UAV swarm system with flight time and attack angle constraints. It includes an efficient attack framework for real-time planning and control of drones.
Using the Artificial Potential Field Algorithm to avoid obstacles and reach a goalpoint
Implementation of artificial potential field algorithm for path planning around static and dynamic obstacles
Probabilistic Road Map mixed Artificial Potential Field Path Planning for Non-Holonomic Robots
Simulation of Quadcopter/Quadrotor Exploration of Unknown Environments using Artificial Potential Field. Uses Vispy for animation
A MATLAB implementation of UAV square formation control using artificial potential fields, featuring autonomous organization, collision avoidance, and high-quality 2D/3D visualizations.
Multi robot path planning with Artificial Potential Functions
A fully autonomous robot with obstacle avoidance (APF), path planning (A* & RRT*), and object detection (YOLO)
This algorithm runs a random obstacle voxel map generation and uses classical artificial potential field equations to drive a robot.
Full Stack Development of Autonomous Navigation of a self Balancing Segway Robot.
Vortex vector field for collision avoidance in drone swarm formation control
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.
Single- and multi-robot path planning based on Artificial Potential Fields.
3D APF (Artificial Potential Field) obstacle avoidance: a multirotor in PX4 SITL + Gazebo simulation, sensing obstacles with a depth camera (OakD-Lite on x500_depth), computing the combined attractive/repulsive force in real time to fly toward the goal.
Hybrid algorithm for path planning using APF and Genetic algorithm
Artifical Potential Field based Autonomous Driving Algorithm based on CALRA sim