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.
Learn More
Getting Started Using MATLAB and Simulink for FPGA, ASIC, and SoC Development
Generate SystemVerilog testbenches for RTL verification, integrate with UVM workflows, and test and debug on FPGA boards.
