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Friedrich-Alexander-Universität Assistive Intelligent Robotics Lab AIROB
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  1. Friedrich-Alexander-Universität
  2. Technische Fakultät
  3. Department Artificial Intelligence in Biomedical Engineering
Friedrich-Alexander-Universität Assistive Intelligent Robotics Lab AIROB
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The Assistive Intelligent Robotics Lab

Ideas, in motion, for people.

In page navigation: Education
  • Lectures, seminars and laboratories
  • Student Theses and Jobs
    • Benchmarking of an IMU-based kinematics tracker - Paid position
    • FAU - DLR: Shared Autonomy in Advanced Humanoid Teleoperation for Intuitive and Reliable Grasping
    • Force Myography as an intent prediction and feedback mechanism for a functional electrical stimulation setup
    • Force output based calibration of a muscular electrical stimulation array
    • Functional Electric Stimulation for the Operation Room
    • Intuitive Control for Industrial Setups
    • Investigate, design and implement a versatile force myography sensor in cooperation with Ottobock
    • Master Thesis: Shallow and deep unsupervised methods for myoelectric control of upper limb prostheses
    • R/B/M: Development and investigation of virtual prosthesis performance evaluations a robotic engine (MuJoCo)
    • Student Assistent for IntelliMan - Biosignal Analysis, Machine Learning and VR (HiWi)
    • Student Assistent for IntelliMan - VR for Upper Limb Prostheses (HiWi)
    • Electromyography-Based Control of a Finger-Hand Exoskeleton
    • Software Development Student Assistant

Benchmarking of an IMU-based kinematics tracker – Paid position

Agile Robotics SE (https://www.agile-robots.com/de/) and the Assistive Intelligent ROBotics (AIROB) chair offer an opportunity for a Master of science in IMU-based body tracking. The thesis will mainly revolve around benchmarking AIROB’s kinematic tracker against a video analysis software, as well as a protractor-based posture tracker . Further goals of the project will be to extend the BodyRig’s software to monitor human gait and measure the wearer’s absolute position in space.

The benchmarking should compare metrics such as latency, bandwidth, precision and accuracy between all the involved devices, and how these metrics are affected by the presence of occlusions in the line of sight or electro-magnetic interferences. If time allows it, precision should also be evaluated in a teleoperation scenario with a human in the loop.

If successful, the BodyRig might be used for teleoperation and teaching-by-demonstration applications.

You will start as an intern, to then transition to a Master thesis position.

Your profile should include the following skills:

  • Knowledge of sensor technology (especially IMUs).
  • Forward kinematics calculations.
  • Coding skills (Python, C++, C#).
  • Technical documentation and code versioning (e.g. through git).

Optionally, the following expertise is desirable

  • User study design.

What we offer

  • Paid position
  • Work experience at both FAU and Agile Robotics SE, in Munich

 

The Assistive Intelligent Robotics (AIROB) Laboratory
Friedrich-Alexander-Universität Erlangen-Nürnberg

Nürnberger Str. 74
91052 Erlangen
Germany
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