Arkady Yuschenko

About

Arkady Yuschenko is a pioneering researcher in collaborative robotics, whose work bridges human-robot interaction, artificial intelligence, and autonomous systems. His most influential paper, "Multi-agent Robotic Systems in Collaborative Robotics" (2018), with 64 citations, establishes foundational frameworks for robots working alongside humans in shared environments. Yuschenko’s key contributions include developing convolutional neural network applications for surgical assistant robots, as detailed in his 2019 paper (12 citations), and advancing mimic recognition and reproduction in bilateral human-robot speech communication (2016, 8 citations). He has also innovated in object recognition using parallel convolutional neural networks (2020, 7 citations) and dialogue control systems based on finite-state automata (2019, 7 citations), enabling intuitive robot control without specialized training. His work on dialogue management and augmented reality interfaces for robot programming (2019, 4 citations) addresses critical barriers to automation in small and medium enterprises. Notably, Yuschenko’s research on underwater robots with undulating propulsion fins (2022, 3 citations) expands collaborative robotics into aquatic domains. With a cumulative citation count exceeding 115, his interdisciplinary approach—integrating neural networks, speech recognition, and multi-agent systems—positions him as a leading voice in making robotics accessible, safe, and practical for diverse real-world applications, from surgery to industrial automation.

Research Focus

Key Achievements

Top Papers

1. 1
   Multi-agent Robotic Systems in Collaborative Robotics

   64 citations · 2018
2. 2
   Application of Convolutional Neural Network to Organize the Work of Collaborative Robot as a Surgeon Assistant

   12 citations · 2019
3. 3
   Mimic Recognition and Reproduction in Bilateral Human-Robot Speech Communication

   8 citations · 2016
4. 4
   Object Recognition of the Robotic System with Using a Parallel Convolutional Neural Network

   7 citations · 2020
5. 5
   Dialogue System of Controlling Robot Based on the Theory of Finite-State Automata

   7 citations · 2019
6. 6
   Collaborative Robotics — State of Art and New Problems

   4 citations · 2017
7. 7
   Robot Manipulator Programming Interface based on Augmened Reality

   4 citations · 2019
8. 8
   Modern Problems of Robotics

   3 citations · 2021
9. 9
   Dialogue Control of Collaborative Robots Based on Artifi cial Neural Networks

   3 citations · 2021
10. 10
    Study of an Underwater Robot with an Undulating Propulsion Fin

    3 citations · 2022

Key Collaborators

Contact & Links