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Friedrich-Alexander-Universität Assistive Intelligent Robotics Lab AIROB
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  3. Department Artificial Intelligence in Biomedical Engineering
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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

Investigate, design and implement a versatile force myography sensor in cooperation with Ottobock

The AIROB Lab announces an open positions for Master’s project and/or Research Internship to investigate, design and implement a versatile force myography sensor in cooperation with Ottobock

In cooperation with Ottobock, the AIROB lab is investigating force myography (FMG) technology as an intent detection and control technology for orthopedic devices. The FMG sensor technology will be implemented with a new line of sensors in assistive devices from Ottobock. The sensor design will be based on the current iteration of FMG sensors present at AIROB and should prioritize versatility and ease of use. The project will also involve a few weeks stay at an Ottobock site.

The tasks include, among others:

  • Designing a more versatile version of the FMG sensor electronics
  • Design a proper containment case
  • Implement and characterize a first prototype
  • Support prototype implementation at Ottobock

Required Qualifications

  • (intermediate) Experience in E-CAD
  • (intermediate) Experience in CAD
  • (intermediate) Experience with Electronics
  • basics in Control theory

Additional Qualifications (not required)

  • Basic knowledge in Biosignal Processing (e.g. Filtering) and Machine Learning
  • Experience with Python, Matlab, Data Analysis, C#, Data Visualization
  • Experience with 2D-Design (e.g. Inkscape/CorelDraw)
  • Experience with LaTEX, Office programs, Technical Documentation (e.g. in a Wiki)

 

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

Nürnberger Str. 74
91052 Erlangen
Germany
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