Type of course:
Digital learning, Path
Language:
EN
Duration:
1 hour, 10 minutes
Workload:
6 hours
Proficiency:
Advanced
Target:
Professionals, Students
This Learning Path introduces the Model Predictive Control (MPC) approach used as a local planner algorithm in ROS2. The main components of the MPC scheme are presented, and the practical application of the MPC package based on ROS2 will be illustrated and introduced in practice.
Learning outcomes
- The learner can embed the Model Predictive Control method in the area of control methods for robotic systems.
- The learner can summarize the important components and formulate a Model Predictive Control Problem to be carried out by the MPC scheme.
- The learner can configure the basic package of MPC in ROS2 to integrate this in the Navigation2 stack.
LessonModel Predictive Control - The main ingredients
Course Content
LessonModel Predictive Control - How to implement?
Course Content
LessonAssessment on Model Predictive Control
Course Content
Topics
Automation and Robotics, Automated Guided Vehicle (AGV), Robots, Robot Operating System (ROS)
Provided by
-
BIBA
+223
enrolled
Course Includes
- 3 Quizzes
- 1 Certificate of achievement
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