Arkady Zgonnikov

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About

Arkady Zgonnikov is a researcher working at the intersection of human-robot interaction, cognitive science, and computational modeling of human behavior. His work addresses fundamental questions about how humans perceive, interact with, and adapt alongside robotic systems — a field of growing importance as robots become increasingly integrated into everyday environments. Among his notable contributions, Zgonnikov has explored the social perception of quadruped robots, investigating how behavioral design choices — such as dominant versus submissive movement styles — shape people's sense of safety around these machines (2024, 7 citations). His research on robotic-assisted motor training has revealed that individual personality traits meaningfully modulate the effectiveness of haptic guidance, pointing toward more personalized rehabilitation and learning systems (2024, 4 citations). He has also championed interdisciplinary dialogue through workshop initiatives aimed at bridging computational human modeling with practical robotics applications (2022, 3 citations). What distinguishes Zgonnikov's profile is his commitment to centering the human experience within robotic system design — not merely optimizing robot performance, but understanding the psychological and behavioral dimensions of human-robot partnerships. His work offers valuable insights for students and practitioners seeking to build robots that are both effective and genuinely human-aware.