|INF-61-73-S-7||Seminar: Robotics and Artificial Intelligence||S2|
Wednesday 15:45 - 16:45
Next seminar event "Presentations" will be conducted virtually on 04.02., 05.02. and 08.02.2021 at 08:30. Groupwise virtual attendance in these events is mandatory!
Link to presentations: https://uni-kl-de.zoom.us/j/96494085576?pwd=anlFWE1pZkRIcGJ4SnlYMTlNTWpMUT09
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
Due to COVID-19 situation, the Kickoff meeting will be a hybrid event (online + offline). Physical attendance in this event is not mandatory. If you attend the meeting in-person, please make sure you generate a QR code for personal data as described on the website:
The link to the kickoff meeting:
Seminar registration is not possible before the Kickoff meeting.
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.
|Sarwar Paplu||Recognition of Speech Intents during Human-Robot Interaction|
|Sarwar Paplu||Advances in vision-based and wearable-sensing technologies for HRI|
|Sarwar Paplu||Mapping of Emotional States to Facial Action Units|
|Tim Dellmann||Sensor Fusion in Agriculture|
|Tim Dellmann||Object Detection and Classification in Point Clouds|
|Tim Dellmann||Photorealistic fakes with Generative Adversarial Networks|
|Axel Vierling||Explainable Artificial Intelligence in Robotic Applications|
|Axel Vierling||Incremental Learning|
|Axel Vierling||Uncertainty factor in Neural Networks|
|Qazi Hamza Jan||Sensor Fusion Techniques for Perception in autonomous vehicles|
|Qazi Hamza Jan||Pedestrian Trajectory Prediction using Probabilistic reasoning and Sequence Learning|
|Tanittha||Traditional vs DL obj detection: overhead view as case study (e.g. feature extraction)|
|Tanittha||Reliability of DL obj detection in automation industry (e.g. adversarial ML or attack)|
|Tanittha||The review of the simulation platform for object recognition|
|Tanittha||Camera usage and system for construction safety|
|Hannan Ejaz Keen||Sensor systems for autonomous navigation of aerial drone|
|Hannan Ejaz Keen||Automatic Multi-sensor calibration methodologies|
|Hannan Ejaz Keen||Ground truth evaluation techniques for state-of-the-art autonomous driving datasets|
|Hannan Ejaz Keen||Study of Underwater mapping and obstacle avoidance algorithms|
Deadline to meet your supervisor
|Literature Research (virtual event)||12.11.2020|
|Gather and read your sources||25.11.2020|
|Delivery of structure||11.12.2020|
- Preconditions concerning Bachelor/Master see module handbook / Intermediate Diploma
- Recommended: Lecture "Foundations of Robotics"
Precondition for examination
After successful participation (incl. literature search, meetings, presentation, report) a graded certificate will be given out.
At the first meeting the different seminar topics will be presented and first publications will be given out. Additional sources should be used. Some search engines can help: