Master-Projekt: Service Robots and Assistance Systems
|INF-61-81-L-7||Master-Projekt: Service Robots and Assistance Systems||part|
Wednesday 13:45 - 15:15
M.Sc. Qi Liu
The preliminary discussion for the master project takes place at Wednesday 10.04.2018 at 14:00 in room 48-379.
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 30th April, 2018
Literature research, methodology discussion and work planning with your supervisor
Implementation of project research: from May to July, 2018
You are required to show up three and a half days per week in the lab
Discuss with your supervisor frequently
Preparing for presentation: before 10th July, 2018
Experiments, summarizing the project work
Presentation: mid of July, 2018
Last week of lecture period (between 09th to 15th of July)
Length: 25-30 mins
Paper writing: before 30th September, 2018
6 pages of a report in IEEE paper style
Submit the report not later than 30.09.2017 (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.
Optimization-Based Muscle Selection for General Purpose End-Effector Control
|Bioinspired Planar Balancing|
|Topview Detection via CNNs|
|Semantic Segmentation with Deep Experts|
|Automated VHDL-code Generation from iB2C-designer||Alexander Köpper / Thorsten Ropertz|
|3D Reconstruction of Testing Envionments in Unreal||Patrick Wolf|
|Implementation of a Radar Sensor in Unreal|
|Adoption of Spring/tendon Action in Human Muscle|
Integration of Force Sensor in Prothtetics Foot
|Hopping Motion Control in CARL|
|Body Orientation Estimation from 2D Optical Flow-based||Tanittha Sutjaritvorakul|
|Simulation of counter force in a digging hole||Tobias Groll|
|Soil simulation - digging a hole||Tobias Groll|
|Representation/Visualisation of Grid Maps/Point Clouds||Steffen Hemer|
|3D ToF Data Registration/Fusion||Steffen Hemer|
|Rock Detection||Steffen Hemer|
|Obstacle Avoidance in Autonomous Cars using Deep Reinforcement Learning||Hannan Ejaz Keen|
|Image Segmentation in the Traffic Scene using Deep Learning||Hannan Ejaz Keen|
Major course assessment
- Written report
The presentations will take place at the end of the lecture period. The specific date will be announced.