Prof.dr.ir. D.A. (David) Abbink

Prof.dr.ir. D.A. (David) Abbink

Profile

Media attention and outreach

Research of the Delft Haptics Lab often receive media attention, click here for a recent overview

Awards

Members of the Delft Haptics Lab have received  multiple awards  for education, research and entrepreneurship.

Biography

David Abbink (1977) is a full Professor in Haptic Human-Robot Interaction at the Department of Cognitive Robotics, Faculty of 3mE, Delft University of Technology.  There he heads the Delft Haptics Lab.  Driven by the vision to enhance co-operation between human and intelligent machine, David and his team strive towards excellent research and education in human-robot interaction and haptics. 

Projects

Several key projects on which David and his team worked:

Click here for a complete and recent overview of research projects

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Publications

Media

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Prizes

  • 2019-10

    Andrew P. Sage Best Transaction Paper 2018

    The Andrew P. Sage Best Transaction Paper is selected from all 2018 publications of the SMC transaction journals: e.g., Transactions on Human-Machine Systems, Transactions on Cybernetics. Criteria include: originality, technical merit, potential impact to the SMCS Field of Interest, and presentation quality.

    IEEE Conference on Systems, Man and Cybernetics

  • 2014

    Human Factors Prize by the Human Factors and Ergonomics Society (HFES)

    Winner of the 2014 Human Factors Prize awarded by the Human Factors and Ergonomics Society (HFES) with the following paper: Petermeijer, S. M., Abbink, D. A., & De Winter, J. C. F. (2015). Should drivers be operating within an automation-free bandwidth? Evaluating haptic steering support systems with different levels of authority. Human Factors, 57, 5–20. (shared with two co-authors)

  • 2010

    Best student paper of conference award

    Paper: “Biodynamic Feedthrough is Task Dependent”
    2010 IEEE International Conference on Systems, Man, and Cybernetics

  • 2006

    Best Dutch PhD thesis

    For the thesis: “Neuromuscular Analysis of Haptic Feedback during Car Following”

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