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.
- What motion planning is and how it works
- Two common types of motion planning
- A four-step motion planning workflow
Read this ebook to understand:
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.