Matej Hoffmann
Scholar

Matej Hoffmann

Google Scholar ID: KFUbXYYAAAAJ
Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague
cognitive developmental roboticsbody representationsperipersonal spacecollaborative robotshuman-robot interaction
Citations & Impact
All-time
Citations
1,541
 
H-index
22
 
i10-index
41
 
Publications
20
 
Co-authors
48
list available
Contact
Resume (English only)
Academic Achievements
  • Involved in multiple European projects, such as IPALM. Established multiple humanoid robot platforms, including the iCub baby robot, making Prague an important center for research in cognitive developmental robotics worldwide.
Research Experience
  • Currently serving as Associate Professor at the Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, leading a group focused on cognitive, neuro-, collaborative, and humanoid robotics. Uses the so-called synthetic methodology, or 'understanding by building', to study cognition and its development, and develop robots that safely and naturally interact with humans. Main research projects include: Modeling development, Artificial touch and self-calibration, Co-bots and physical HRI, Active perception for robot manipulation.
Education
  • Received MSc degree in Computer Science, Artificial Intelligence from Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic, in 2006. Completed PhD degree and served as Senior Research Associate at the Artificial Intelligence Laboratory, University of Zurich, Switzerland (Prof. Rolf Pfeifer) between 2006 and 2013. Worked at the iCub Facility of the Italian Institute of Technology (Prof. Giorgio Metta) from 2013 to 2017, supported by a Marie Curie Intra-European Fellowship (iCub Body Schema, 2014-2016).
Background
  • Research interests include cognition and its development, particularly how babies learn to represent their bodies and the space around it (peripersonal space) and the mechanisms in the brain. Also interested in robots that safely and naturally interact with humans. Specializes in the sense of touch for robots.