Vladyslav Andrusyshyn
Papers
7
Total Citations
30
H-Index
3
About
Vladyslav Andrusyshyn is a rising researcher at the forefront of industrial robotics and human-robot collaboration, with a focus on creating smarter, more intuitive automation systems for sustainable production. His work centers on three key areas: intelligent gripping systems, gesture-based robot programming, and digital twin technology for collaborative robots. Andrusyshyn’s most cited paper, “New classification of industrial robotic gripping systems for sustainable production” (2024, 16 citations), provides a foundational framework for selecting grippers that enhance efficiency and reduce waste in modern manufacturing. He has also pioneered novel approaches to human-robot interaction, including an intelligent assistant for collaborative robots (2025) and a gesture-based programming method that enables code reuse, making robot programming more accessible to non-experts. His digital twin of the ABB YuMi robot (2024) improves operator training and safety by providing real-time visual feedback during assembly tasks. With additional contributions in machine vision and predictive maintenance, Andrusyshyn is shaping the future of Industry 5.0, where humans and robots work seamlessly together. His work is particularly relevant for students and researchers interested in the practical integration of AI, robotics, and sustainable manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2Intelligent Human–Robot Interaction Assistant for Collaborative Robots4 citations · 2025
- 3
- 4Design of a Decision-Making Model for Engineering Education2 citations · 2024
- 5
- 6Machine Vision Systems for Collaborative Assembly Applications2 citations · 2023
- 7