Master-Projekt: Service Robots and Assistance Systems
The preliminary discussion for the master project takes place at Wednesday 17.04.2019 at 14:00 in room 48-379.
Slides of Kick-off meeting (on 17.04.2019) can be found under the following link.
The target of the project is to work at a specific topic independently. This contains the planing and implementation of systems or part of systems in our current projects.
Preliminary work: before 3rd May, 2019
Literature research, methodology discussion and work planning with your supervisor
Implementation of project research: from May to July, 2019
You are required to show up three and a half days per week in the lab.
Discuss with your supervisor frequently
Preparing for presentation: till 10th July, 2019
Experiments, summarizing the project work
Presentation: mid of July, 2019
Last week of lecture period (between 15th to 19th of July)
Length: 25-30 mins
Paper writing: before 30th September, 2019
6 pages of a report in IEEE paper style
Submit the report not later than 30.09.2019 (end of the semester)
- You should keep up with the deadlines, otherwise, you are not allowed to continue your project work.
- Please go to the supervisor first to confirm if the topic is still available before registration.
- You are required to show up at least three and a half days per week in the lab and discuss with your supervisor frequently.
- Please give the report to your supervisor in advance so that she/he will have enough time to read and give you feedback.
|CPU-relief Benchmarking for Hybrid HW/SW-Systems on SoPC||Alexander Köpper|
|Behavior-based Visual Servoing using SoPC|
|Optimization-Based Leg-Force Selection for simultaneous Trunk- and Leg Control|
|Game Engines: Sensors and Actuators||Axel Vierling|
|Generation of Reactive Behavior during Human-Robot Interaction|
|Hopping control in robotic leg CARL|
|Developing Appropriate Character's Behaviors in Simulation||Qazi Hamza Jan|
|Person Pose Estimation using 2D Camera||Qazi Hamza Jan|
|Representation/Visualization of Grid Maps/Point Clouds||Tobias Groll / Steffen Hemer|
|3D (ToF) Data Registration/Fusion||Tobias Groll / Steffen Hemer|
|Rock Detection||Tobias Groll / Steffen Hemer|
|Improving SLAM algorithms||Tobias Groll / Steffen Hemer|
|Implement Radar Sensor Tools||Tobias Groll / Steffen Hemer|
|Sonar/GPR data acquisition||Tobias Groll / Steffen Hemer|
|Personality Traits Assessment using Pleasure-Arousal-Dominance (P-A-D) Emotional Space||Zuhair Zafar|
|Affine Transformation in Deep Learning||Axel Vierling|
Major course assessment
- Written report
The presentations will take place at the end of the lecture period. The specific date will be announced.