Martin Schett
Papers
1
Total Citations
2
H-Index
1
About
Martin Schett is a researcher at the forefront of human-robot interaction (HRI), with a specialized focus on physical, touch-based communication between humans and robotic systems. His key research areas include force and torque sensing, nudge-based interaction design, and the evaluation of usability and user experience in collaborative robotics. Schett’s major contribution lies in advancing the underexplored domain of direct physical human-robot interaction, moving beyond traditional vision- and speech-based interfaces. His most-cited work, "Push Me: Evaluating Usability and User Experience in Nudge-based Human-Robot Interaction through Embedded Force and Torque Sensors" (2024), demonstrates how embedded sensors can enable intuitive, non-verbal communication—such as nudges and pushes—allowing robots to respond naturally to human physical cues. This work has already garnered early citations, signaling its growing influence in the HRI community. By systematically evaluating the usability and user experience of such interactions, Schett is helping to lay the groundwork for safer, more intuitive human-robot collaboration in shared workspaces. His research is particularly relevant as robots become increasingly integrated into industrial, service, and domestic environments where physical proximity and touch are inevitable.
Research Focus
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Top Papers
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