Sergey Anisimov
Papers
2
Total Citations
7
H-Index
2
About
Sergey Anisimov is a researcher focused on the intersection of industrial robotics, virtual reality, and computer vision. His work centers on making robotic systems more intuitive and efficient through advanced human-machine interfaces and data processing algorithms. In his most cited paper (2019, 5 citations), Anisimov developed a novel approach for automatically generating industrial robot tool trajectories using a virtual reality-based operator interface. This system allows users to program complex robotic paths by interacting with a 3D model of the robot’s workspace, significantly simplifying the programming process. In a related contribution (2019, 2 citations), he proposed a fast triangulation algorithm for point clouds captured by laser scanners in industrial robotic complexes. By leveraging the structural features of the incoming scan data, his method accelerates the conversion of raw sensor data into usable 3D models. Anisimov’s work directly addresses practical challenges in manufacturing automation, offering solutions that reduce programming time and improve the integration of vision systems with robotic control.
Research Focus
Key Achievements
Top Papers
- 1
- 2