Henrich Kolkhorst
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Albert-Ludwigs-Universität Freiburg |
Research Interests
- Brain-Machine Interfaces
- Human-Robot Interaction
- Brain State Decoding
I am interested in decoding users' brain states in human-robot interaction scenarios and utilize this information to adapt and improve robots. The user should be able to influence both what the robot does and how these actions are performed. The use of brain signals from electroencephalography (EEG) introduces a feedback modality that is non-intrusive and can also be used by impaired users who have problems communicating through other channels.
In order to control the robot, our work on screen-free object selection using brain signals introduces a novel intuitive way to communicate user intent using in-the-scene highlighting of candidates. While this online setup avoids the need for screen-based interfaces as an indirection step, the object-specific differences in signal distributions pose an interesting challenge from a machine learning perspective.
In pursuance of human-compliant robots, the user's judgment of the environment as well as the robot's actions is critical for improving robotic policies. In the context of autonomous driving, our work on decoding the perceived hazardousness in traffic scenarios from EEG offers a step towards augmenting traditional scene perception with high-level human feedback. Considering robotic assistants in manipulation tasks, EEG-based feedback can be utilized to infer trajectory preferences of the user.Publications
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A Robust Screen-Free Brain-Computer Interface for Robotic Object Selection
Henrich Kolkhorst*, Joseline Veit*, Wolfram Burgard and Michael Tangermann
Frontiers in Robotics and AI, 7, 2020, Research Topic: Advances in the Integration of Brain–Machine Interfaces and Robotic Devices, In Press
DOI Manuscript Video Supplementary Material BibTeX -
Learning User Preferences for Trajectories from Brain Signals
Henrich Kolkhorst, Wolfram Burgard and Michael Tangermann
International Symposium on Robotics Research (ISRR), Hanoi, Vietnam, October 2019, In Press
Manuscript arXiv preprint BibTeX -
Heterogeneity of Event-Related Potentials in a Screen-Free Brain-Computer Interface
Henrich Kolkhorst, Joseline Veit, Wolfram Burgard and Michael Tangermann
8th Graz Brain-Computer Interface Conference, Graz, Austria, September 2019, pp. 228–233
DOI Manuscript BibTeX -
Influence of User Tasks on EEG-Based Classification Performance in a Hazard Detection Paradigm
Henrich Kolkhorst, Saku Kärkkäinen, Amund Faller Raheim, Wolfram Burgard and Michael Tangermann
41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, July 2019, pp. 6758–6761
DOI Manuscript BibTeX -
Mining Within-Trial Oscillatory Brain Dynamics to Address the Variability of Optimized Spatial Filters
Andreas Meinel, Henrich Kolkhorst and Michael Tangermann
IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 27, no. 3, pp. 378–388, March 2019
DOI BibTeX -
Guess What I Attend: Interface-Free Object Selection Using Brain Signals
Henrich Kolkhorst, Michael Tangermann and Wolfram Burgard
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 7111–7116, Madrid, Spain, October 2018
DOI Manuscript BibTeX -
Decoding Hazardous Events in Driving Videos
Henrich Kolkhorst, Wolfram Burgard and Michael Tangermann
7th Graz Brain-Computer Interface Conference, pp. 242–247, Graz, Austria, September 2017
DOI Manuscript BibTeX -
Decoding Perceived Hazardousness From User's Brain States to Shape Human-Robot Interaction
Henrich Kolkhorst, Michael Tangermann and Wolfram Burgard
HRI Pioneers Workshop, ACM/IEEE International Conference on Human-Robot Interaction, pp. 349–350, Vienna, Austria, March 2017
DOI Manuscript BibTeX
Datasets
Datasets for the screen-free object selection can be found on a separate page.Teaching
- co-organizer of the seminar Machine learning for nonstationary data, winter term 2019/20
- co-organizer of the practical course on brain state decoding, winter term 2019/20
- co-organizer of the seminar Advanced Neurotechnological Applications, summer term 2019
- teaching assistant of the lecture Systems I: Operating Systems, winter term 2018/19
- co-organizer of the practical course on brain state coding, winter term 2018/19
- co-organizer of the seminar Doing by Thinking, summer term 2018
- teaching assistant of the lecture Systems I: Operating Systems, winter term 2017/18
- co-organizer of the practical course on brain state decoding, winter term 2017/18
- co-organizer of the seminar Doing by Thinking, summer term 2017
- teaching assistant of the lecture Systems I: Operating Systems, winter term 2016/17
- co-organizer of the seminar Doing by Thinking, summer term 2016
- teaching assistant of the lecture Systems I: Operating Systems, winter term 2015/16
About me
- 06/2015 – up to now: Working at the Autonomous Intelligent Systems group of Prof. Dr. Wolfram Burgard and the Brain State Decoding Lab of Dr. Michael Tangermann as a doctoral research assistant
- 08/2013 – 02/2015: Co-founder/CTO of PriceNow, working on optimization of personalized pricing and product recommendations in e-commerce
- 10/2011 – 09/2013: Master of Science with distinction, Computer Science with minor in Operations Research, Karlsruhe Institute of Technology
- 10/2008 – 09/2011: Bachelor of Science with distinction, Computer Science with minor in Operations Research, Karlsruhe Institute of Technology