Open Positions

2018


 Published: 02.05.2018   

Master Thesis

Cooperative control for context-aware prosthesis

The Department of Trauma Surgery (ART-Lab) of the Medical Faculty of Göttingen is currently seeking for a Master student in computer science, robotics, applied engineering or similar field to work towards the design of a cooperative control framework for a semi-autonomous prosthesis control. Prosthetic hands are becoming increasingly dexterous, which allows more diverse application possibilities but also renders them more difficult to control. In order to reduce the user’s workload and increase the control performance we introduce a novel semi-autonomous prosthesis control framework. The framework consists of machine-learning based myocontrol (user input) and artificial intelligence (autonomous control) which need to be combined in order to drive the prosthetic hand in an optimal fashion.

The tasks of the student will be:

  • Literature research about machine learning based prosthesis control, grasping strategies in able-bodied and interactions between humans and robots;
  • Design and development of grasping strategies for multi-functional prosthesis;
  • Development of a decision fusion algorithm between the user inputs (myocontrol) and autonomous control (artificial intelligence) -> cooperative control;

Required skills:

  • Good programming skills (>2 years, C++, C#);
  • Experience in data-fusion (e.g., sensor-fusion) algorithms;

Beneficial skills:

  • Unity (>6 months);
  • 3D Image modeling and processing;

We offer:

  • Motivating, international research and development environment;
  • Excellent scientific supervision and close collaboration with our research staff;
  • Depending on your performance, the possibility of later employment (HiWi position);

Contact:

Email: Jeremy.mouchoux@med.uni-goettingen.de


 Published: 02.05.2018   

Master Thesis

Implementation of a room-sized SLAM for object interaction

The Department of Trauma Surgery (ART-Lab) of the medical Faculty of Göttingen is currently seeking for a master student in computer science, applied engineering or similar field to work towards implementation of a simultaneous localization and mapping (SLAM) algorithm. The SLAM will be used in conjunction with 3D RGB-Depth camera to scan a room-size environment and isolate the interactable objects.

The tasks of the student will be:

  • Literature research of the State of the Art SLAM algorithms;
  • Select and implement the optimal algorithm for the project;
  • Remove the non-intractable objects (e.g., furniture) form the point-cloud;
  • Isolate / label interactable objects (e.g., cups, plates) & planar surfaces;

Required skills:

  • Good programming skills (>2 year, C++, C #);
  • Good knowledge of “big” data analysis (partitioning, threads, …);

Beneficial skills:

  • Unity (>6 months);
  • Previous experience with computer vision algorithms (>3 months);

We offer:

  • Motivating, international research and development environment;
  • Excellent scientific supervision and close collaboration with our research staff;
  • Depending on your performance, possibility of later employment (HiWi position);

Contact:

Email: Jeremy.mouchoux@med.uni-goettingen.de