Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
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Updated
Jan 13, 2024 - Python
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
ROS package which uses the Navigation Stack to autonomously explore an unknown environment with help of GMAPPING and constructs a map of the explored environment. Finally, a path planning algorithm from the Navigation stack is used in the newly generated map to reach the goal. The Gazebo simulator is used for the simulation of the Turtlebot3 Waf…
Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"
Optimal Path Planning with Deep Reinforcement Learning
Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones
Python implementation of common pathfinding algorithms in 3D grid space
A python package for planning surveys over large areas using one or more UAV (Unpersoned Aerial Vehicle).
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Real-time global path planning algorithm for dynamic environments
Developed Autonomous Robot Planning with RRT, RRT*, RRT*smart, and RRTconnect Algorithms, validated on 2D maps as well as 3D simulation of Turtlebot3 in Gazebo within a Custom Maze Environment.
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Multi Robot Artificial Potential Fields Path Planning
Implementation of d-star-lite and a-star algorithms
Implementation of AStar path planning algorithm in simulation.
A ROS based platform that includes 2 or more drones carrying flecible objects (ropes) and flying through narrow places and obstacles
Simple code using cv2 to extract the walkable area (or reachable random goal point) for robot
Winding-Constraint Anytime Heuristic Search for a Pair of Tethered Robots (IROS2025)
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