M V Shikhman
Papers
1
Total Citations
4
H-Index
1
About
M V Shikhman is a researcher in robotics and computer vision, with a focus on autonomous mobile systems. Their key contributions center on developing efficient operation algorithms for vision subsystems, particularly for real-time obstacle and human detection. Shikhman’s most cited work, “Developing operation algorithms for vision subsystems in autonomous mobile robots” (2018), introduces a robust approach that combines histogram of oriented gradients (HOG) with support vector machines (SVM) to reliably select keypoints in dynamic environments. This method enhances the automatic detection of people and obstacles, addressing critical challenges in autonomous navigation. With 4 citations, this paper has provided a foundational technique for improving the perceptual capabilities of mobile robots. Shikhman’s work is notable for its practical application in robotics, bridging algorithmic efficiency with real-world deployment. Their research continues to influence the development of safer, more responsive autonomous systems, making a meaningful impact in the field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1