Aleksandr Zelensky
Moscow State Technological University, Lomonosov Moscow State University
Papers
8
Total Citations
71
H-Index
5
About
Aleksandr Zelensky is a leading researcher in intelligent manufacturing and collaborative robotics, with a focus on developing intuitive, contactless human-robot interaction systems. His work addresses a critical bottleneck in modern smart manufacturing: replacing complex, traditional interfaces with natural, operator-friendly controls. His most-cited paper (2019, 15 citations) pioneers a control system for collaborative robots based on contactless human action recognition, while a subsequent study (2020, 12 citations) advances human activity recognition to enable efficient human-robot collaboration in dynamic environments. Zelensky also makes significant contributions to machine vision and sensor fusion, developing algorithms for automated image analysis in thermal and visible ranges (2021, 13 citations) and methods for depth map reconstruction to optimize robotic navigation. Notably, he bridges hardware and software by implementing neuro-accelerators on FPGAs and designing a heterogeneous neuromorphic processor based on the RISC-V architecture for real-time robotics tasks. His comprehensive overview of the semiconductor industry (2021, 11 citations) further demonstrates his broad technical expertise. With a career spanning foundational algorithms to cutting-edge hardware, Zelensky’s work is shaping the future of safe, efficient, and intelligent human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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- 3Human activity recognition for efficient human-robot collaboration12 citations · 2020
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- 6Using neuro-accelerators on FPGAs in collaborative robotics tasks5 citations · 2021
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