About Me

Dennis Sprute PhotoI am a research assistant and PhD student at the Bielefeld University of Applied Sciences and the Otto-von-Guericke-University Magdeburg. My research interest is in the field of computer vision and robotics, especially human-robot interaction (HRI) in the context of smart home environments.

Currently, I am developing new interaction methods to allow non-expert users the interactive restriction of their mobile robots’ workspaces in human-centered environments. The restriction areas cannot be directly recognized by the robot’s on-board sensors and/or require explicit knowledge of a human. Therefore, an interaction process between human and robot is necessary to incorporate human needs in the mobile robot’s navigation framework. For example carpets should by circumvented to avoid navigation errors or certain rooms should not be entered due to privacy concerns. My research focuses on questions of (1) how can certain user interfaces be employed to restrict a mobile robot’s workspace in a traditional home environment, (2) how can a smart home environment improve the interaction process and (3) how can a combination of robot and smart environment (network robot system) learn from user interactions and apply the knowledge in future interaction processes. You can find relevant publications and some exemplary videos on our project’s website.

Previously, I worked in a research project on fall and activity recognition in a smart home environment. It is based on a small wearable device that is attached to the user’s waist. My activities involved the development of the hardware and the implementation of machine learning algorithms on the resource-limited hardware. The activity recognition system was successfully integrated into an intelligent environment to react on the current user’s activity.

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