Header-only C++ library for robotics, control, and path planning algorithms. Work in progress, contributions are welcome!
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Updated
May 18, 2024 - C++
Header-only C++ library for robotics, control, and path planning algorithms. Work in progress, contributions are welcome!
Spherical Vector-based Particle Swarm Optimization
toolpath planning for additive manufacturing and CNC milling
ROS base local planner plugin which uses the tangent bug algorithm
Collective motion planning for a group of robots using intermittent diffusion
This project is mainly about testing different path planning techniques in a certain world full of obstacles and how turtlebot3 managed to get to the goal position. It tackles 3 path planning technquies which are ( Artificial potential field (APF), Breadth first search (BFS), A*).
Python implementation of Bug2 algorithm to navigate a quadcopter/multirotor in the AirSim simulator.
A fully visualized implementation of the Dynamic Window Approach (DWA) in Python using Pygame. Simulate and visualize obstacle avoidance and goal-reaching for mobile robots in 2D space — perfect for robotics beginners, path planning researchers, and AI robotics students!
A modular SLAM system combining Particle Filter-based localization, Occupancy Grid Mapping (OGM), Dynamic Window Approach (DWA) for real-time obstacle avoidance, and D* Lite for global path replanning. This project integrates both probabilistic mapping and real-time motion planning, suitable for research and educational use in robotics.
Path planning algorithms implemented by Matlab
Udacity Self-Driving Car Engineer
An OpenGL graphics library based animation of path planning algorithms.
Analytical solution to forward/inverse kinematics of robot manipulator, path planning using RMRC Algorithm
Implementation of RRT (Rapidly-Exploring Random Tree) path planning algorithm
Landmark based FastSLAM implementation followed by global path planning for a small four wheeled robot
Path Planning for Intelligent Mobile Robots A comprehensive framework for advanced path planning algorithms used in autonomous mobile robots.
KUKA YouBot navigation using PRM algorithm on MATLAB - CoppeliaSim
Software which runs in the Jetson Nano board within the wheelchair, performing functions like Depth Estimation and Path Planning.
Project page and visual results for our Ocean Engineering paper on GPU-accelerated, collision-free path planning of underwater gliders in time-varying currents using MadDE-NDA.
Autonomous SLAM + Navigation robot simulation — occupancy-grid SLAM, A* path planning, frontier exploration, tested on real OpenStreetMap data
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