Dr. A. (Arkady) Zgonnikov
Dr. A. (Arkady) Zgonnikov
Profile
Expertise
Originally coming from a technical background, I have always felt puzzled and fascinated by human behavior, so I am happy that as a researcher I have a chance to contribute to bridging the fields of cognitive science and robotics. I do this by developing cognitive models of human behavior in human-robot interactions, with an emphasis on automated driving. I also work in collaboration with some of the world’s best researchers in robotics and AI to incorporate these cognitive models into the design of robots and automated driving systems.
I believe that theories and models from cognitive psychology and neuroscience will help us to develop autonomous systems that are responsive to human reasons and intentions. The overarching goal of my work is to find ways to develop artificial systems that are highly autonomous but at the same time remain under meaningful human control.
Biography
I graduated from Saint-Petersburg State University with MSc in Applied Mathematics in 2009, and did my PhD in Computer Science and Engineering at University of Aizu in 2011-2014. My early research focused on mathematical modeling of intermittent motor control in human operators. In 2015, I joined the Department of Psychology, National University of Ireland Galway, as Irish Research Council Postdoctoral Fellow to study response dynamics of decision making. In 2017, I returned to University of Aizu to investigate how decision making and motor behavior influence each other.
In June 2019, I joined TU Delft as a postdoc on the AiTech programme. Here I have been working on modeling human drivers' decision making during simple traffic interactions, and investigating how this understanding can help us to improve coordination between autonomous vehicles and human drivers.
In November 2020, I have started as a tenure-track Assistant Professor in Human-Robot Interaction at the Department of Cognitive Robotics, TU Delft. Read more about my current research here.
Expertise
Publications
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2024
A Meaningful Human Control Perspective on User Perception of Partially Automated Driving Systems
A Case Study of Tesla Users
Lucas Elbert Suryana / Sina Nordhoff / Simeon C. Calvert / Arkady Zgonnikov / Bart Van Arem -
2024
A model of dyadic merging interactions explains human drivers' behavior from control inputs to decisions
Olger Siebinga / Arkady Zgonnikov / David A. Abbink
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2024
Extended Abstract: Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios
Julian F. Schumann / Jens Kober / Arkady Zgonnikov
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2024
General Optimal Trajectory Planning
Enabling Autonomous Vehicles with the Principle of Least Action
Heye Huang / Yicong Liu / Jinxin Liu / Qisong Yang / Jianqiang Wang / David Abbink / Arkady Zgonnikov -
2024
Haptic Shared Control for Dissipating Phantom Traffic Jams
Klaas O. Koerten / David A. Abbink / Arkady Zgonnikov
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Ancillary activities
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2022-11-10 - 2026-11-10