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Wöhrle, H. and Kirchner, E.A. (2014) Online Classifier Adaptation for the Detection of p300 Target Recognition Processes in a Complex Teleoperation Scenario. Physiological Computing Systems, Lecture Notes in Computer Science, 105-118.
https://doi.org/10.1007/978-3-662-45686-6_7

has been cited by the following article:

• TITLE: Immersive Robot Control in Virtual Reality to Command Robots in Space Missions

  AUTHORS: Steffen Planthaber, Martin Mallwitz, Elsa Andrea Kirchner

  KEYWORDS: Human Robot Interaction, Virtual Reality, Exoskeleton

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.11 No.7, July 3, 2018

  ABSTRACT: We present an approach to control a semi-autonomous robot team remotely under low bandwidth conditions with a single operator. Our approach utilises virtual reality and autonomous robots to create an immersive user interface for multi-robot control. This saves a big amount of bandwidth, just because there is no need to transfer a constant steam of camera images. The virtual environment for control only has to be transferred once to the control station and only has to be updated when the map is out of date. Also, the camera position can easily be changed in virtual reality for more overview on the robots situation. The parts of this approach can easily be transferred to applications on earth e.g. for semi-autonomous robots in hazardous areas or under water applications.