Volker Steuber

About

Dr. Volker Steuber is a leading researcher at the intersection of human-robot interaction, neural computation, and rehabilitation engineering. His work primarily focuses on understanding and mitigating muscle fatigue during robot-assisted training, a critical challenge for effective neurorehabilitation. Steuber’s major contributions include pioneering the use of electromyogram (EMG) features as real-time fatigue indicators to enable adaptive, personalized upper limb training. His 2020 study on EMG-based auto-adaptation (15 citations) and his 2022 investigation into EEG spectral modulations during gross and fine motor tasks (19 citations) have provided foundational insights into the neural and muscular correlates of fatigue. Beyond rehabilitation, he has explored the role of embodiment in robot performance and lateral inhibition in spiking neural controllers. His work, cited over 60 times, directly informs the design of smarter, more responsive rehabilitation robots that can adjust to a user’s physiological state, promising more effective and safer therapy for patients recovering from stroke or injury.

Research Focus

Key Achievements

Top Papers

1. 1
   EEG Spectral Feature Modulations Associated With Fatigue in Robot-Mediated Upper Limb Gross and Fine Motor Interactions

   19 citations · 2022
2. 2
   Adaptive robot mediated upper limb training using electromyogram-based muscle fatigue indicators

   15 citations · 2020
3. 3
   Influence of muscle fatigue on electromyogram–kinematic correlation during robot-assisted upper limb training

   14 citations · 2020
4. 4
   Study of Gross Muscle Fatigue During Human-Robot Interactions

   6 citations · 2017
5. 5
   Embodiment and Its Influence on Informational Costs of Decision Density—Atomic Actions vs. Scripted Sequences

   3 citations · 2021
6. 6
   The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot

   2 citations · 2009

Key Collaborators

Contact & Links