Type of course:
Digital learning, Path
Language:
EN
Duration:
1 hour
Workload:
6 hours
Proficiency:
Advanced
Target:
Professionals, Students
This Learning Path introduces the different concepts and architectures for Multi-Agent-Control algorithms for autonomous mobile robots. The theoretical concepts are presented, and some frameworks as practical examples to be used in ROS2 so that the learner might try out frameworks in simulations and on real robots.
Learning outcomes
- The learner is able to remember and differentiate the different control schemes for a multi-agent system.
- The learner contextualises some suitable frameworks for ROS to configure a control scheme for a multi-agent system.
- The learner is able to summarise, recognise and judge the suitability of different multi-agent control schemes.
LessonTypes of Multi-Agent-Control for mobile robotics
Course Content
LessonAn introduction of frameworks for Multi-Agent-Control of autonomous mobile Robots in ROS
Course Content
LessonAssessment on Types of Multi-Agent-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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