Nr. | TitLE | SWS | DATE | ROOM | Begin |
---|---|---|---|---|---|
INF-61-72-S-7 | Seminar: Embedded Systems and Robotic | S2 | Wednsday 13:30 - 14:30 | 48-365 | 24.10.2018 |
Content
The seminar participants should become acquainted with the topic dependent on the selected literature and search additional publications. Beside the presentation (Bachelor 30 min, Master/Diploma 40 min) a report of 6-8 pages (Bachelor) resp. 8-10 pages (Master/Diploma) has to be prepared.
Instructions concerning the content and structure of a seminar can be found at
- Mike Ashby. How to write a paper. April 2005 (http://www-mech.eng.cam.ac.uk/mmd/ashby-paper-V6.pdf)
Templates
Report templates can be found here. Please use the template "LaTeX-Vorlage für Seminar (IEEE)".
The master for presentation slides is "Folien PowerPoint (Layout 2013)" or the LaTeX equivalent.
Topics
Name | Topic |
---|---|
Sarwar Hussain Paplu | Emotion-based Control Architectures |
Atabak Nezhadfard | Muscle activity in human Jump |
Atabak Nezhadfard | Energy Analysis in Human Walking |
Hannan Ejaz Keen | Reinforcement Learning in Autonomous Vehicles |
Patrick Vonwirth | Passive Properties of Natural Muscles |
Patrick Vonwirth | Bipedal Balancing |
Alexander Köpper | FPGAs for EKF and SLAM |
Alexander Köpper | FPGAs for Mapping and Navigation |
Axel Vierling | Filter techniques for Radar Sensors in Autonomous Driving |
Axel Vierling | Feature Visualization in CNNs |
Tanittha Sutjaritvorakul | Vision-based approaches for construction safety |
Tanittha Sutjaritvorakul | Sensor-based technology for safety in construction site |
Qazi Hamza Jan | Real time pedestrian tracking, behaviour learning and navigation for autonomous vehicles |
Qazi Hamza Jan | End to End Deep learning for autonomous driving |
Steffen Hemer | Force-feedback in hydraulic robotic arms using neural networks |
Steffen Hemer | State-of-the-art in point set registration algorithms |
Steffen Hemer | Localization and mapping in industrial environments using mono camera and RADAR |
Steffen Hemer | Rock detection from colored 3D pointclouds |