Autonomous mobile robotics - Dynamic Window Approach (489 LP) 
Type of course:
Digital learning, Path
Language:
EN
Duration:
1 hour
Workload:
6 hours
Proficiency:
Advanced
Target:
Professionals, Students
This Learning Path introduces the Dynamic Window Approach used as local planner algorithm in ROS2 Navigation Stack. It will provide the learner with some theoretical background about motion models and trajectory planning for mobile robotics. It will guide the learner through the setup of ROS2. Eventually, local trajectory planners for mobile robots will be detailed via an exemplary implementation of the Dynamic Window Algorithm.
Learning outcomes
- The students understand the principles of autonomous navigation with ROS2 Navigation Stack
- The students understand how to use and tune a global planner for Nav2 as well as how it works
- The students summarise which motion models are required for mobile robots and especially for differential-drive robots
LessonIntroduction to ROS2 Navigation Stack
Course Content
LessonMotion models for wheeled robots
Course Content
LessonReactive Collision Avoidance: Dynamic Window Approach
Course Content
LessonAssessment on Dynamic Window Approach
Course Content
Topics
Automation and Robotics, Automated Guided Vehicle (AGV), Robots, Robot Operating System (ROS)
Provided by
-
Czech Technical University
+223
enrolled
Course Includes
- 1 Quiz
- 1 Certificate of achievement
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