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Path Planning and Navigation for Autonomous Robots

Carlos Santacruz-Rosero, MathWorks

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™.

Download Code and Files

Download the model in the video

Related Products

  • Robotics System Toolbox
  • MATLAB
  • Navigation Toolbox
  • ROS Toolbox
  • Simscape Multibody
  • Simulink

Learn More

Explore MATLAB for robotics
Choose Path Planning Algorithms for Navigation
Path Planning

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Get the example code used in this video

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