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About

Cornelia Wendt is a pioneering researcher in human-robot interaction (HRI), with a focus on making robot collaboration intuitive, efficient, and emotionally intelligent. Her work spans biologically inspired trajectory generation, nonverbal humor, and multimodal dialogue systems—pushing robots beyond simple tools toward genuine cooperative partners. Wendt’s most cited paper (32 citations) introduces a novel trajectory generator that enables robots to move in more human-like, predictable ways, reducing the need for human training during physical interaction. She also broke new ground by exploring nonverbal humor as a dimension of HRI (30 citations), using gestures and body movements to foster more natural, engaging exchanges. Her real-time multimodal framework (12 citations) integrates speech, gesture, and physiological signals, allowing robots to respond to both explicit commands and subtle emotional cues. Notably, Wendt’s experimental studies on predictive hand-over timing (6 citations each) demonstrate that anticipatory robot behavior significantly improves fluency and efficiency in assembly tasks. She further advanced affective computing by using involuntary physiological data to detect over- and underchallenge in users (4 citations), enabling adaptive robot responses. Through her interdisciplinary, user-centered approach, Wendt has laid critical groundwork for robots that can work alongside humans seamlessly, with empathy and even a sense of humor.