Mapping for Mobile Robots and UGV
From the series: Modeling, Simulation and Control
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.
Published: 7 Oct 2021
Related Products
Learn More
您也可以从以下列表中选择网站:
如何获得最佳网站性能
选择中国网站(中文或英文)以获得最佳网站性能。其他 MathWorks 国家/地区网站并未针对您所在位置的访问进行优化。
美洲
- América Latina (Español)
- Canada (English)
- United States (English)
欧洲
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
亚太
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)