Duration:
1 Semester | Turnus of offer:
each winter semester | Credit points:
4 |
Course of studies, specific field and terms: - Master Robotics and Autonomous Systems 2019 (optional subject), Elective, 1st or 2nd semester
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Classes and lectures: - Advanced Topics in Robotics (exercise, 1 SWS)
- Advanced Topics in Robotics (lecture, 2 SWS)
| Workload: - 20 Hours exam preparation
- 45 Hours in-classroom work
- 55 Hours private studies
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Contents of teaching: | - Dynamics and Control of Robots
- Motion Planning for Robots
- Augmented Reality
- Design of Robot Systems
- Intracorporal Robotics
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Qualification-goals/Competencies: - Students understand the connection to underlying mathematical methods, especially in dynamics, optimization, and sensor data processing and analysis of algorithms.
- Students have an extended overview of application areas for robotics.
- They are able to implement such methods and derive new applications based on such methods.
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Grading through: - written exam, oral exam and/or presentation as announced by the examiner
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Requires: |
Responsible for this module: Teachers: |
Literature: - Achim Schweikard, Floris Ernst: Medical Robotics - Springer, 2015, Jocelyne Troccaz (ed.): Medical Robotics, Wiley, 2009
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Language: |
Notes:Admission requirements for taking the module: - None (the competencies of the modules listed under |
Letzte Änderung: 3.9.2024 |
für die Ukraine