Path Planning and Navigation for Autonomous Robots

Simplify the complex tasks of robotic path planning and navigation using MATLAB^® and Simulink^®. This demonstration walks through how to simulate a self-parking car with just three components: a path, a vehicle model, and a path following algorithm. These lessons can be applied to all autonomous robots – not just self-driving cars.

Start in MATLAB, where you can create a map of the environment. Next, you can generate a path for the robot to follow using built-in path planners. Use Simulink to create the vehicle model and customize it to be as complex as you need. Lastly, you can use built-in algorithms and blocks in MATLAB and Simulink to create the path-following algorithm.

Try it yourself: Download the robotics trial and explore the model.

Two new products were introduced in R2019b to complement the capabilities of Robotics System Toolbox™: Navigation Toolbox™ and ROS Toolbox™.