Andrey Kiselev
Papers
29
Total Citations
484
H-Index
13
About
Andrey Kiselev is a prominent researcher specializing in human-robot interaction (HRI), robotic telepresence, and teleoperation systems, with significant contributions spanning over a decade of work. His research has fundamentally shaped our understanding of how humans interact with and perceive robots in real-world settings, particularly in eldercare and social contexts. Kiselev's most impactful work includes a mixed-reality teleoperation system (93 citations) that addresses critical maneuverability limitations in VR-based robot control, and his extensive involvement in the EU ExCITE project (61 citations), which rigorously evaluated mobile robotic telepresence technology over 42 months to support elderly populations. His investigations into bilateral telerobotic systems using fuzzy neural networks and his development of a comprehensive taxonomy of perceived safety in HRI (44 citations) demonstrate his breadth across both technical and human-centered dimensions of robotics. Notably, Kiselev has advanced our understanding of social dynamics in telepresence, exploring spatial formations, field-of-view effects, and automation levels for non-technical caregivers. His early work on mental workload as a usability measure further reflects his commitment to designing intuitive interfaces. With over 350 cumulative citations across his key publications, Kiselev's research continues to meaningfully inform the development of safer, more socially aware, and practically deployable robotic systems.
Research Focus
Key Achievements
Top Papers
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- 9Levels of Automation for a Mobile Robot Teleoperated by a Caregiver17 citations · 2022
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