The days when a vehicle or machine required a driver or physical controller are gone—today’s self-driving cars are smart enough to change lanes, allow pedestrians to pass, or even parallel park themselves.

Motion planning is one of the three components that make systems like self-driving cars, robot manipulators, UGVs, and UAVs autonomous. The other two are perception and control. 

    Read this ebook to understand:

  • What motion planning is and how it works
  • Two common types of motion planning
  • A four-step motion planning workflow

You will also learn about the motion planning algorithms available in MATLAB® and Navigation Toolbox™, how to select a suitable algorithm for your application, and how motion planning can be applied to a wide range of autonomous systems.

MATLAB and Simulink for Robotics and Autonomous Systems

Develop autonomous applications from perception to motion and optimize system-level behavior.

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