Module RO5200-KP08

Duration

2 Semester

Turnus of offer

each year, can be started in winter or summer semester

Credit points

8

Course of studies, specific fields and terms:

• Master Robotics and Autonomous Systems 2019, optional subject, Elective

Classes and lectures:

• Evolutionary Robotics (exercise, 1 SWS)
• Evolutionary Robotics (lecture, 2 SWS)
• Collective Robotics (exercise, 1 SWS)
• Collective Robotics (lecture, 2 SWS)

Workload:

• 90 hours in-classroom work
• 130 hours private studies
• 20 hours exam preparation

Contents of teaching:

• Biological basics
• Self-organization, robustness, scalability, superlinear speedups
• Robot swarms by land, by sea, and by air
• Mathematical modeling of swarms and collective decision-making
• Evolutionary computation
• Artificial evolution of robot controllers and robot morphologies
• Optimization and learning in robot experiments

Qualification-goals/Competencies:

• Students get a comprehensive overview of biologically inspired.
• Students are able to assess chances and challenges of robust and scalable robot systems.
• Students are able to implement reactive control for swarm robots in simulation and on mobile robots.
• Students are able to implement evolutionary algorithms and artificial neural networks and are able to apply them to problems of mobile robots in.
• Students are able to name challenges of evolutionary robotics in applications and to discuss potential solutions.

Grading through:

• Written or oral exam as announced by the examiner

Responsible for this module:

• Prof. Dr.-Ing. Mladen Berekovic

Teacher:

• Institute of Computer Engineering
• Dr. rer. nat. Javad Ghofrani

Literature:

• Nolfi, S., Floreano, D. : The Biology, Intelligence, and Technology of Self-Organizing Machines MIT Press, 2001
• Hamann, H. : Swarm Robotics: A Formal Approach Springer 2018

Language:

• offered only in English

Notes:

Last Updated:

26.10.2022