Gregor Mehlmann
Papers
2
Total Citations
68
H-Index
2
About
Gregor Mehlmann is a leading researcher in human-robot interaction (HRI), with a core focus on the computational modeling of gaze behavior for grounding in multimodal communication. His work addresses a fundamental challenge in social robotics: enabling robots to collaborate effectively with humans by establishing, maintaining, and repairing shared understanding—or "common ground." Mehlmann’s major contribution lies in developing and validating a comprehensive model of gaze that integrates its versatile roles in grounding, from signaling attention to coordinating turn-taking. His most-cited paper, "Exploring a Model of Gaze for Grounding in Multimodal HRI" (2014, 65 citations), demonstrates how gaze mechanisms can be combined with parallel modalities (e.g., speech, gesture) to generate and recognize grounding behaviors in real-time interaction. This work has been influential in shaping how researchers design socially aware robots that can engage in natural, fluid exchanges. Mehlmann’s research bridges cognitive science and robotics, offering practical frameworks for building more intuitive and trustworthy autonomous systems. His achievements are particularly notable for advancing the theoretical and computational underpinnings of non-verbal communication in HRI.
Research Focus
Key Achievements
Top Papers
- 1Exploring a Model of Gaze for Grounding in Multimodal HRI65 citations · 2014
- 2Modeling Gaze Mechanisms for Grounding in HRI3 citations · 2014