Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

Our autonomous ground vehicle uses Frontier Based exploration to navigate and map unknown environments. Equipped with sensors, it can avoid obstacles and make real-time decisions. It has potential applications in search and rescue, agriculture, and logistics, and represents an important step forward in autonomous ground vehicle development.

Motion Control of Self-Driving Car for Trajectory Tracking

Implementation of the pure pursuit algorithm with matplotlib visualization

Custom simulator with my implementations of EKF-, UKF-, and Pose-Graph-SLAM

Package for Path Planning and Tracking created using ROS2, Turtlebot3, A*, and PurePursuit

Lateral controller for path following using Pure pursuit Geometric controller

python-based examples of path following algorithms

Lateral Control of Vehicle using Pure Pursuit Controller

Webots world example using maliput

A path planning and control method is developed for the scenario of a non-holonomic robot serving food in a restaurant.

Software codes for running the Game-theoretic Utility Tree (GUT) algorithm for the multi-robot Pursuit-Evasion problem in the Robotarium's simulator-hardware multi-robot testbed.