Duration:
2 Semester | Turnus of offer:
each year, can be started in winter or summer semester | Credit points:
12 |
Course of studies, specific field and terms: - Master Robotics and Autonomous Systems 2019 (advanced module), advanced curriculum, Arbitrary semester
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Classes and lectures: - Seminar Bio-inspired Robotics (seminar, 2 SWS)
- Evolutionary Robotics (exercise, 1 SWS)
- Evolutionary Robotics (lecture, 2 SWS)
- Collective Robotics (exercise, 1 SWS)
- Collective Robotics (lecture, 2 SWS)
| Workload: - 20 Hours exam preparation
- 220 Hours private studies
- 120 Hours in-classroom work
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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
- Independent familiarization with an area of service robotics based on technical literature
- Writing and presentation of an own scientific paper
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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.
- Die Teilnehmer sind in der Lage, eine wissenschaftliche Arbeit eigenständig zu verfassen und vorzutragen.
- The students are able to investigate self-dependently scientific publications, to analyze and understand their contents.
- The participants can analyze and reproduce the tenor with regard to their scope of work. The students are competent to write and present their own scientific work.
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Grading through: - Written or oral exam as announced by the examiner
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Responsible for this module: Teachers: - Dr. rer. nat. Javad Ghofrani
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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
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Language: |
Notes:Admission requirements for taking the module: - None Admission requirements for participation in module examination(s): - Successful completion of exercises of both sub-modules as specified at the beginning of the respective semester. Module Exam(s): - RO5200-L1: Bio-inspired Robotics, oral examination on the contents of both submodules, 2/3 of the module grade - RO5200-S: Seminar Bio-inspired Robotics, 1/3 of the module grade |
Letzte Änderung: 26.10.2022 |
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