Papers
7
Total Citations
29
H-Index
3
About
Y. S. Ivanov is an emerging researcher specializing in human-robot collaboration, computer vision, and artificial intelligence-driven control systems. Their work sits at the intersection of deep learning and collaborative robotics, with a particular focus on ensuring safe and efficient human-robot interaction in shared workspaces. Ivanov's most impactful contribution to date is the development of KeyFNet, an original neural network architecture leveraging LSTM and Transformer blocks for human movement prediction in video streams, which has garnered 9 citations since its 2023 publication. Complementing this, their ensemble deep neural network approach for detecting human keypoints within collaborative robotic environments — utilizing multicamera sensor systems to accurately map operator positions in local coordinate systems — has attracted 6 citations, demonstrating practical real-world applicability. Beyond perception, Ivanov has made notable strides in modeling the human factor within socio-cyber-physical systems, exploring how AI-driven control laws can intensify collaborative robotic process efficiency. Their research also addresses critical safety concerns, including adversarial attack robustness and collision avoidance trajectory correction. With all major publications emerging in 2023 and accumulating nearly 30 citations collectively, Ivanov represents a promising voice in next-generation intelligent collaborative robotics research.
Research Focus
Key Achievements
Top Papers
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