Martin A. Volker

About

Martin A. Volker is a leading researcher at the intersection of assistive robotics, brain–computer interfacing (BCI), and deep learning, with a focus on restoring independence to individuals with severe motor impairments. His most influential work, “An autonomous robotic assistant for drinking” (68 citations), addresses a critical need for patients with paralysis from stroke or neurodegenerative diseases, demonstrating a robotic system capable of autonomously handling liquid intake—a fundamental daily task. Volker’s major contribution lies in developing hybrid BCI frameworks that integrate brain signals with autonomous robotic control, as shown in his 2019 paper on a service assistant combining deep-learning-based BCI and flexible goal formulation (49 citations). He further advanced human–robot interaction by inferring continuous subjective ratings through deep regression, enabling robots to adapt their behavior in real time based on user feedback. Volker’s work bridges the gap between complex robotic autonomy and intuitive user control, making assistive technology more accessible. With a growing citation impact and pioneering studies in deep learning for BCI, his research is shaping the future of human-compliant, intelligent robotic assistants for healthcare and daily living.

Research Focus

Key Achievements

Top Papers

1. 1
   An autonomous robotic assistant for drinking

   68 citations · 2015
2. 2
   A service assistant combining autonomous robotics, flexible goal formulation, and deep-learning-based brain–computer interfacing

   49 citations · 2019
3. 3
   Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression

   7 citations · 2019
4. 4
   Deep Learning Based BCI Control of a Robotic Service Assistant Using Intelligent Goal Formulation

   7 citations · 2018

Key Collaborators

Contact & Links