Andriy Partyshev

Tallinn University of Technology

Papers

2

Total Citations

50

H-Index

2

About

Andriy Partyshev is a researcher at the forefront of industrial digitalization, specializing in Digital Twin technology, industrial robotics, and cyber-physical systems. His major contributions lie in bridging the gap between physical manufacturing equipment and their virtual counterparts, creating practical frameworks for real-time simulation and control. Partyshev’s most cited work, “Interface Development for Digital Twin of an Electric Motor Based on Empirical Performance Model” (2022, 35 citations), establishes a foundational methodology for building digital replicas of electric motors, using empirical data to drive performance optimization. This work is pivotal for predictive maintenance and efficiency improvements in industrial settings. He further advanced the field with “Industrial Collaborative Robot Digital Twin Integration and Control Using Robot Operating System” (2022, 15 citations), where he pioneered standardized, open-source solutions for integrating collaborative robots into modular manufacturing systems. By leveraging the Robot Operating System (ROS), Partyshev’s research enables flexible, cost-effective automation, directly addressing industry’s need for machine interconnectivity. His work is notable for its practical, implementation-focused approach, offering clear pathways for companies to adopt Industry 4.0 technologies. With a growing citation impact, Partyshev is establishing himself as a key contributor to the future of smart manufacturing and digital twin ecosystems.

Research Focus

Key Achievements

2
H-Index
2
Papers
50
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Interface Development for Digital Twin of an Electric Motor Based on Empirical Performance Model
35 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Tallinn University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago