About

Sabina Jeschke is a pioneering researcher at the intersection of robotics, artificial intelligence, and engineering education, whose work has significantly shaped our understanding of human-robot collaboration in the context of Industry 4.0. Her research spans automated emotion recognition, reinforcement learning for industrial robotics, and the design of hybrid human-robot workplaces — areas that collectively address how humans and intelligent machines can work together effectively and safely. Among her most influential contributions is her work on EEG-based emotion recognition (134 citations), which bridges affective computing and human-robot interaction, offering practical tools for industry applications. Equally impactful is her sustained investigation into hybrid teams — workplaces where robots function as genuine collaborators rather than mere tools — exploring dimensions from anthropomorphism and subjective stress to workplace design and robotic motion planning. Her reinforcement learning approach to industrial robot motion planning (78 citations) highlights her commitment to adaptive, real-world solutions. Jeschke has also been a vocal advocate for reimagining engineering education, demonstrating through empirical research how virtual worlds and human-robot collaboration can prepare future engineers for digitally transformed industries. With hundreds of citations across her body of work, her influence extends from factory floors to lecture halls, making her a defining voice in the future of intelligent manufacturing.

Research Focus

Key Achievements

14
H-Index
58
Papers
836
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
EEG-based automatic emotion recognition: Feature extraction, selection and classification methods
134 citations · 2016
📈 Most Prolific Year: 2016 (19 Papers)
🤝 Key Collaborators: 85
🏛 Institutions: RWTH Aachen University, University of Stuttgart, Massachusetts Institute of Technology, Friedrich-Alexander-Universität Erlangen-Nürnberg

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
    Design of a Robotic Workmate
    27 citations · 2017
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 33 days ago