Arkady Zgonnikov

Arkady Zgonnikov is a researcher in Mechanical Engineering at Delft University of Technology, specializing in Human-Robot Interaction with a focus on autonomous vehicles and human-machine systems. His work addresses critical issues in automated vehicle control, safety, and user perception through interdisciplinary approaches combining machine learning, cognitive modeling, and empirical studies.

Research focuses on modeling driver behavior during automated driving scenarios, evaluating safety mechanisms, and understanding human factors in vehicle automation. Notable contributions include studies on Tesla users' experiences with partially automated systems and frameworks for meaningful human control in autonomous systems.

Zgonnikov collaborates extensively with academic and industry partners, contributing to datasets on driver modeling and traffic interactions. His work has been featured in media discussions about AI in mobility and regulatory challenges for automated vehicles.

He supervises academic projects and has co-created multiple datasets available via 4TU.ResearchData, including machine learning implementations and interaction modeling frameworks.