Janis Stolzenwald

University of the West of England, University of Bristol

Papers

Total Citations

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About

Janis Stolzenwald is a researcher at the forefront of human-robot interaction, specializing in how robots can understand and respond to human social and cognitive cues. Their work bridges the gap between robotic functionality and intuitive human communication, focusing on two key areas: social behaviour mimicry and cooperative handheld robotics. In their seminal 2017 paper "Gesture mimicry in social human-robot interaction" (11 citations), Stolzenwald demonstrated how robots can build rapport and improve teamwork by mimicking human gestures—a foundational insight for designing socially adept robots. Building on this, their 2019 study "Rebellion and Obedience: The Effects of Intention Prediction in Cooperative Handheld Robots" (10 citations) introduced an intention prediction model that allows handheld robots—tools that combine physical utility with task awareness—to anticipate user actions, enhancing collaboration. A further notable work (8 citations) explores using a tool-mounted gaze tracking system to estimate user attention, enabling robots to adapt their assistance in real time. With a total of nearly 30 citations across these core papers, Stolzenwald’s research is shaping the future of robots that are not just tools, but intelligent partners capable of understanding and cooperating with humans seamlessly.