Papers
8
Total Citations
207
H-Index
6
About
Ansgar Koene is a leading researcher in human-robot interaction (HRI), with a particular focus on enabling seamless, intuitive physical collaboration between humans and robots. His work centers on developing and validating control systems that allow robots to perform complex joint actions, such as object handovers, with a fluency that mimics human-human interaction. Koene’s major contributions include the implementation and experimental validation of Dynamic Movement Primitives (DMPs) for object handover tasks, a framework that allows robots to adapt their trajectories in real-time to a human partner’s movements. His research has garnered significant attention, with his most-cited papers—on DMPs for HRI and real-time acoustic source localization—accumulating over 40 citations each. A key achievement is his experimental demonstration that spatial precision in a robot’s reach is more critical than temporal precision for user satisfaction during handovers, a finding that directly informs the design of more acceptable service robots. By integrating insights from human behavioral observation and multimodal sensory processing, Koene’s work provides a robust, biologically-inspired foundation for the next generation of collaborative robots.
Research Focus
Key Achievements
Top Papers
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- 5BIOLOGICALLY BASED TOP-DOWN ATTENTION MODULATION FOR HUMANOID INTERACTIONS23 citations · 2008
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- 7Hippocampus, Amygdala and Basal Ganglia Based Navigation Control3 citations · 2009
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