Papers
9
Total Citations
85
H-Index
6
About
Robin Rasch is a robotics researcher focused on human-robot interaction, multi-agent cooperation, and ambient intelligence. His work centers on making domestic robots more capable and intuitive, particularly through natural communication methods like gesture-based object localization and human-like handover movements. Rasch’s most cited paper, “Ambient Assisted Robot Object Search” (17 citations), explores how robots can locate objects in smart environments. He has also advanced multi-robot systems for service tasks like tidying up, as shown in “Tidy up my room” (16 citations), which tackles the challenge of low-cost robots cooperating to perform complex chores. A key contribution is his joint motion model for robot-human handovers (15 citations), which improves predictability and safety by mimicking human movement. Rasch’s work on gesture-based localization (11 citations) and interactive teaching of virtual borders (9 citations) further demonstrates his commitment to user-friendly robot control. His research has been presented at major venues like RO-MAN and IEEE conferences, and his findings on handover configurations and anthropomorphic trajectories are shaping the next generation of assistive robots. With over 80 total citations, Rasch is building a foundation for robots that seamlessly integrate into everyday life.
Research Focus
Key Achievements
Top Papers
- 1Ambient Assisted Robot Object Search17 citations · 2017
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- 3A Joint Motion Model for Human-Like Robot-Human Handover15 citations · 2018
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- 5A framework for interactive teaching of virtual borders to mobile robots9 citations · 2017
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- 9A Joint Motion Model for Human-Like Robot-Human Handover3 citations · 2018