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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
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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

R/B/M: Development and investigation of virtual prosthesis performance evaluations a robotic engine (MuJoCo)

The AIROB Lab has 1 open position for a Master/Bachelor project or Research Lab for the development and investigation of virtual prosthesis performance evaluations with the robotic engine (MuJoCo).

In this research project, the student will investigate multiple virtual prosthesis performance evaluations e.g. SHAP, TAC. To this end, the student will implement multiple standardized prosthesis evaluation methods with the robotic engine MuJoCo (Multi-Joint dynamics with Contact). After the development and training phase, the system will be used to evaluate multiple ML-based algorithms for prosthetic control with a couple of healthy participants. Depending on the format (RL/B/M), the tasks are adjusted accordingly. The tasks include, among others:

  • Research
  • Implementation of multiple standardized prosthesis tests in MuJoCo
  • Testing in MuJoCo (in Unity)
  • Conduction of study with subjects

Required Qualifications

  • Exceptional interest in learning new methods and tools
  • (basic) Experience in 3D Design or CAD
  • (basic) Experience with C#
  • Interest in biosignals, robotics and simulation
The Assistive Intelligent Robotics (AIROB) Laboratory
Friedrich-Alexander-Universität Erlangen-Nürnberg

Nürnberger Str. 74
91052 Erlangen
Germany
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