Papers
7
Total Citations
45
H-Index
3
About
Nikolay Gapon is a robotics and computer vision researcher whose work sits at the intersection of intelligent manufacturing, autonomous navigation, and human-robot interaction. His research focuses on three interconnected areas: depth map reconstruction and defect removal, simultaneous localization and mapping (SLAM) for mobile robots, and contactless human-robot interfaces driven by deep learning. Gapon's most cited contribution, "Control System of Collaborative Robotic Based on the Methods of Contactless Recognition of Human Actions" (2019, 15 citations), demonstrates his early commitment to making industrial robots more intuitive and accessible, eliminating the steep learning curves associated with traditional control interfaces. His subsequent work on SLAM and multimodal image inpainting (each garnering 10 citations) advanced the reliability of autonomous robot navigation by addressing persistent challenges such as missing depth data and poor lighting conditions in 3D scene reconstruction. More recently, Gapon has tackled practical industrial problems, developing deep learning pipelines to detect and remove depth map defects caused by manufacturing debris during welding, milling, and drilling operations. His 2023 work on real-time semantic segmentation further extends his vision into augmented reality applications. With a growing body of work accumulating over 45 citations, Gapon represents an emerging voice in applied robotics research with clear real-world manufacturing relevance.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Multimodal image inpainting for an autonomous robot navigation application10 citations · 2021
- 4Deep learning-based depth map defect removal for industrial applications3 citations · 2023
- 5
- 6
- 7Real‐time deep learning semantic segmentation for 3-D augmented reality2 citations · 2023