Project course robotics and automation - CS5295
Content
- Development and implementation of intelligent navigation algorithms
- Application of image processing and image recognition
- Time-critical implementation
- Project management
Qualification goals
- Deepening of theoretical and practical knowledge in machine learning and image processing
- Independent advanced problem solving and algorithm design
- Planning and coordination of a project within a team
- Education
- Robotics - CS2500
- Project course robotics and automation - CS5295
- Artificial Intelligence I - CS3204
- Artificial Intelligence II – CS5204 T
- Deep Learning - CS4295
- Sequence Learning - CS4575
- Humanoid Robotics – RO5300
- Medical Robotics – CS4270 T
- Lab Course Robotics and Automation - CS3501
- Bachelor Project - CS3701
- Bachelor Seminar - CS3702
- Master Seminar - CS5280, CS5840
- Rescue Robotics – RO5801
- Medical Product Regulation - ME4520
- Bachelor and Master Theses
Rucha Golwalkar
Ratzeburger Allee 160
23562 Lübeck
Gebäude 64,
Raum 83
Email: | rucha.golwalkar(at)uni-luebeck.de |
Phone: | +49 451 31015227 |
Fax: | +49 451 31015204 |
Dr. Volker Saggau
Ratzeburger Allee 160
23562 Lübeck
Gebäude 64,
Raum 94
Email: | volker.saggau(at)uni-luebeck.de |
Phone: | +49 451 31015201 |
Fax: | +49 451 3101 5204 |