There are 5 repositories under motion-planning-algorithms topic.
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
To guarantee safe and efficient driving for automated vehicles in complicated traffic conditions, the motion planning module of automated vehicles are expected to generate collision-free driving policies as soon as possible in varying traffic environment. However, there always exist a tradeoff between efficiency and accuracy for the motion planning algorithms. Besides, most motion planning methods cannot find the desired trajectory under extreme scenarios (e.g., lane change in crowded traffic scenarios). This study proposed an efficient motion planning strategy for automated lane change based on Mixed-Integer Quadratic Optimization (MIQP) and Neural Networks. We modeled the lane change task as a mixed-integer quadratic optimization problem with logical constraints, which allows the planning module to generate feasible, safe and comfortable driving actions for lane changing process. Then, a hierarchical machine learning structure that consists of SVM-based classification layer and NN-based action learning layer is established to generate desired driving policies that can make online, fast and generalized motion planning. Our model is validated in crowded lane change scenarios through numerical simulations and results indicate that our model can provide optimal and efficient motion planning for automated vehicles
A task space motion planner with global and local obstacle avoidance for robotic manipulators.
motion planning algorithms of robotics
MATLAB implementation of control and navigation algorithms for mobile robots
Motion Planning and Control of Self-Driving Car
Implementation of Bug Algorithms and Basic Forwards / Inverse Kinematics Equations.
Highway Driving (project 7 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
A repository for my undergraduate final year project
Path Planning using A-Star algorithm
Using Dijkstra Path Planning Algorithm (Part of ENPM661 - Planning for Autonomous Robots)
A-star Algorithm on ROS Turtlebot-2 (Part of ENPM661 - Planning for Autonomous Robots)
Repository for Fetch Robotics simulation and POCs
Matlab Implementation of algorithms : 1. Dynamic programming 2. Dijksrta 3. A* 4. Weighted A*