Type of course:
Digital learning, Lesson
Language:
EN
Duration:
30 minutes
Workload:
2 hours
Proficiency:
Advanced
Target:
Manager, Professionals, Students
This is the assessment nugget for the Learning Path Autonomous mobile robotics – Model Predictive Control.
The learner is able to describe the basic concept of Model Predictive Control.
Furthermore, the learner is able to apply the ROS2 package of the MPC algorithm in a ROS2 environment.
Learning outcomes
- The learner can differentiate the Model Predictive Control methods to other classical control concepts.
- The learner can formulate an Optimization Control Problem to be used by the MPC.
- The learner can apply the given MPC software package and integrate this in the Navigation stack of ROS2.
Course Content
Topics
Automation and Robotics, Digital Transformation, Automated Guided Vehicle (AGV), Robots, Robot Operating System (ROS), Navigation Systems
Provided by
Content created in 2022
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