Papers
17
Total Citations
163
H-Index
7
About
Felix Gervits is a leading researcher at the intersection of human-robot teaming, dialogue systems, and autonomous agents. His work focuses on enabling robots to function as genuine teammates by developing computational frameworks for coordination, communication, and social interaction. Gervits’ major contributions include implementing Shared Mental Models (SMMs) for human-robot teams, which improve coordination and performance in distributed settings such as space missions. He has also advanced the study of team communication as a collaborative process, analyzing how dialogue features like turn-taking, overlap resolution, and disfluencies reflect team effectiveness. His recent work on DriVLMe explores enhancing LLM-based autonomous driving agents with embodied and social experiences, pushing the boundaries of situated AI. With over 140 citations across his top papers, Gervits has shaped understanding of how robots can achieve socially-appropriate utterance selection and situated learning through question-asking. His notable achievements include developing Wizard-of-Oz interfaces for collecting human-robot dialogue data and creating computational models for turn-entry timing, making his research essential for students and researchers interested in building truly collaborative artificial teammates.
Research Focus
Key Achievements
Top Papers
- 1
- 2Team Communication as a Collaborative Process30 citations · 2016
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- 4Shared Mental Models to Support Distributed Human-Robot Teaming in Space16 citations · 2018
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- 7It’s About Time: Turn-Entry Timing For Situated Human-Robot Dialogue7 citations · 2020
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