Papers
1
Total Citations
2
H-Index
1
About
M. A. Ershova’s research centers on advancing robotic perception and human-robot interaction, with a particular focus on enhancing operator situational awareness in remote-controlled systems. Her most-cited work, “Real-Time Surround-View System for Mobile Robotic System” (2019), addresses a critical challenge in teleoperation: the limited and often distorted view of the environment. By proposing a real-time surround-view system that integrates multiple fisheye-lens cameras with overlapping fields of view, Ershova provides a practical solution that significantly improves the operator’s ability to perceive and navigate complex surroundings. This contribution, which has garnered 2 citations, lays important groundwork for more intuitive and safer remote control of mobile robots. Her work is notable for its direct application to real-world robotic systems, bridging the gap between theoretical computer vision and practical deployment. Ershova’s research is particularly valuable for students and engineers working on teleoperation, autonomous navigation, and multi-camera sensor fusion, offering a clear, implementable approach to a persistent problem in mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1Real-Time Surround-View System for Mobile Robotic System2 citations · 2019