Sergei Sukhorukov
Amur State University, Komsomolsk-on-Amur State Technical University
Papers
7
Total Citations
20
H-Index
2
About
Sergei Sukhorukov is an emerging researcher specializing in collaborative robotics, intelligent control systems, and human-robot interaction safety. His work sits at the intersection of artificial intelligence and industrial automation, with a particular focus on making robotic systems safer and more efficient in shared human-robot workspaces. Sukhorukov's most impactful contribution to date is his development of ensemble deep neural network approaches for detecting human keypoints within collaborative robotic environments. By leveraging multicamera sensor systems, this work — his most cited with 6 citations — enables robots to accurately determine an operator's spatial position and proactively avoid collisions, advancing a critical frontier in workplace safety. Complementing this, he has investigated intelligent trajectory correction algorithms that predict and prevent human-robot collisions in real time. Beyond safety systems, Sukhorukov has made notable contributions to robotic manufacturing, developing control algorithms for wire-fed 3D metal printing complexes and security subsystems for robotic laser welding installations. His 2025 work on implementing collaborative functions within traditional industrial manipulators demonstrates a commitment to bridging the gap between legacy industrial systems and modern collaborative robotics. Collectively accumulating approximately 20 citations across recent publications, Sukhorukov represents a promising voice in the intellectualization of next-generation robotic control systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Development of a Security Subsystem of a Robotic Laser Welding Complex4 citations · 2021
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