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About

Engin Erzin is a leading researcher in social robotics and human-robot interaction, with a focus on creating machines that understand and respond to human emotions and behaviors. His work spans affective computing, non-verbal communication, and physical human-robot collaboration. Erzin’s major contributions include developing laughter-responsive social robots that enhance user engagement—his 2017 paper on this topic has garnered 30 citations—and pioneering reinforcement learning models for generating natural backchannels like nods and smiles, as detailed in his 2022 work (16 citations). He also advanced continuous emotion tracking from speech using total variability space (11 citations), enabling real-time affective state estimation for medical and robotic applications. Erzin’s impact extends to multimodal databases, such as the eHRI database (2023), which supports engagement studies in human-robot interactions. His recent work on adaptive admittance controllers for safe physical human-robot interaction in manufacturing (2024) and comparative analyses of feedback types in companion robots (2025) highlights his versatility. With over 70 citations across his most-cited papers, Erzin’s research is shaping the future of socially intelligent robots that seamlessly integrate into daily life and industry.