Konstantin Zimenko

About

Konstantin Zimenko is a robotics and control systems researcher whose work spans aerial robotics, human-machine interfaces, and engineering education. Based at ITMO University, he has made notable contributions to the design and control of unmanned aerial vehicles (UAVs) equipped with robotic manipulators — a technically demanding area requiring sophisticated adaptive control strategies. His most-cited work (43 citations) explores how robotics competitions serve as powerful motivational tools in university education, reflecting a commitment to bridging theoretical learning with hands-on engagement. Alongside this pedagogical contribution, Zimenko has advanced robust control frameworks for quadrotors with attached robotic arms, employing feedback linearization and finite-time control methods to manage complex dynamic systems. His research also extends into biomedical robotics, developing intuitive EMG and EEG-based human-machine interfaces for rehabilitation exoskeletons and real-time electromyogram signal classification — work with meaningful implications for assistive technology. With contributions accumulating over 130 citations, Zimenko represents a researcher equally invested in pushing the boundaries of autonomous robotic systems and cultivating the next generation of engineers through innovative, experiential learning methods.

Research Focus

Key Achievements

Top Papers

1. 1
   Participation in Robotics Competition as Motivation for Learning1

   43 citations · 2014
2. 2
   UAV equipped with a robotic manipulator

   20 citations · 2014
3. 3
   Adaptive control system for quadrotor equiped with robotic arm

   16 citations · 2014
4. 4
   Application of innovative mechatronic systems in automation and robotics learning

   12 citations · 2014
5. 5
   Mechatronic and Robotic Setups for Modern Control Theory Workshops

   10 citations · 2012
6. 6
   Design of control system for a four-rotor UAV equipped with robotic arm

   10 citations · 2015
7. 7
   Intuitive control for robotic rehabilitation devices by human-machine interface with EMG and EEG signals

   7 citations · 2012
8. 8
   EMG real-time classification for robotics and HMI

   6 citations · 2013
9. 9
   Control system of biped robot balancing on board

   4 citations · 2014
10. 10
    Real-Time EMG Signal Frequency Identification

    2 citations · 2014

Key Collaborators

Contact & Links