S. Battermann
Papers
3
Total Citations
44
H-Index
3
About
S. Battermann is a researcher focused on advancing human-robot interaction and multi-agent cooperation within intelligent environments. Their work centers on enabling low-cost, specialized robots to perform complex domestic tasks—such as tidying up, object search, and fetch-and-delivery—by leveraging smart environment infrastructure. A key contribution is the development of gesture-based object localization, where natural human pointing gestures are used to intuitively communicate spatial information to robots, enhancing their ability to navigate and manipulate objects. Battermann also explores multi-agent cooperation, demonstrating how multiple low-cost robots can collaborate to solve tasks like room tidying, traditionally requiring expensive general-purpose systems. Their most-cited paper, "Ambient Assisted Robot Object Search" (2017, 17 citations), addresses the challenge of locating objects in cluttered homes, while "Tidy up my room" (2019, 16 citations) showcases scalable, cooperative solutions for service tasks. With a cumulative impact of over 44 citations across their top works, Battermann’s research is paving the way for affordable, practical domestic robotics, making smart home assistance more accessible and efficient.
Research Focus
Key Achievements
Top Papers
- 1Ambient Assisted Robot Object Search17 citations · 2017
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