Papers
27
Total Citations
138
H-Index
7
About
Andrey Yatsun is a robotics and mechatronics researcher whose work spans biomechanical motion analysis, rehabilitation exoskeletons, and the design and control of unconventional robotic locomotion systems. His research has made notable contributions to the understanding and simulation of human-robot interaction, particularly in the context of lower limb exoskeletons for individuals with musculoskeletal impairments. His 2016 study on sagittal plane human motion using marker technology demonstrated how inverse kinematics solutions can effectively drive exoskeleton control systems, while later work on walking robot-exoskeleton movement on movable bases advanced the design of rehabilitation complexes. Yatsun has also pioneered investigations into crawling robots with controllable friction mechanisms, producing multiple influential studies that classify locomotion modes and model obstacle navigation — work that collectively has garnered over 40 citations. His broader portfolio includes pipe inspection robots, vibration-driven locomotion, jumping robot dynamics, and electromechanical drive control. Spanning more than a decade of consistent output, Yatsun's research bridges theoretical modeling and applied robotics, making his work valuable to engineers and researchers developing next-generation assistive technologies and bio-inspired robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Simulation of a Walking Robot-Exoskeleton Movement on a Movable Base9 citations · 2021
- 4
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- 6PIPE INSPECTION PARALLEL-LINK ROBOT WITH FLEXIBLE STRUCTURE7 citations · 2012
- 7
- 8Modeling Quasi-static Gait of a Person Wearing Lower Limb Exoskeleton6 citations · 2018
- 9
- 10Modelling of Robot’s Motion by Use of Vibration of Internal Masses6 citations · 2008