Mapping for Mobile Robots and UGV

Discover how to create occupancy grids from different sources after collecting environment information using various robot sensors. You’ll also learn how to use ROS-enabled systems with MATLAB® and Simulink® to generate and simulate maps that you can use for developing autonomous navigation algorithms such as path planning and control.

Autonomous systems such as mobile robots and unmanned ground vehicles require digital representations of their environments to navigate effectively. Occupancy grid objects provide versatile representations that interact with existing motion planning, control, and localization algorithms. After watching this video, you'll be able to use MATLAB to map robot environments from either individual numerical arrays, images, or lidar scans with the SLAM Map Builder app.

Navigation Toolbox: https://bit.ly/3vS8YW4?s_eid=PSM_15028
Robotics System Toolbox: https://bit.ly/3w8AgGM?s_eid=PSM_15028
ROS Toolbox: https://bit.ly/3KW31vI?s_eid=PSM_15028
Download Examples: https://bit.ly/39xofmA?s_eid=PSM_15028

--------------------------------------------------------------------------------------------------------
Get a free product trial: https://goo.gl/ZHFb5u
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
See what's new in MATLAB and Simulink: https://goo.gl/pgGtod

© 2022 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.