Kevin Pfeil
Papers
1
Total Citations
2
H-Index
1
About
Kevin Pfeil’s research lies at the intersection of human-robot interaction, teleoperation, and spatial computing, with a focus on making multi-robot teams more intuitive to control. In his most-cited work, he conducted a within-subjects user study comparing traditional PC and game console inputs against a 3D spatial gesture interface for teleoperating robots within heterogeneous teams. His findings revealed that full-body and hand gestures can offer a more natural and effective means of commanding multiple robots, challenging the dominance of conventional hardware. Though early in his citation trajectory, this work has already influenced discussions on embodied interaction in robotics. Pfeil’s contributions are particularly notable for bridging the gap between immersive 3D interfaces and practical robot control, a key challenge in field robotics and collaborative human-robot systems. His research points toward a future where operators can fluidly guide robot teams using their own movements, reducing cognitive load and improving response times in dynamic environments. For students and researchers, Pfeil’s work offers a compelling case for rethinking teleoperation design through the lens of human spatial intuition.
Research Focus
Key Achievements
Top Papers
- 1