M.P. Lepekha
Papers
1
Total Citations
3
H-Index
1
About
M.P. Lepekha is a researcher whose work lies at the intersection of biomimetic sensing, robotics, and acoustic signal processing. Their most notable contribution is the development of an adaptive and mobile biomimetic sonar system that can recognize objects from ultrasonic echoes. In their 2003 paper, Lepekha introduced a sensor design inspired by biological echolocation, featuring a central transmitter flanked by two receivers that adaptively rotate to maximize echo bandwidth. This system, mounted on a robot arm, demonstrated that mobile, adaptive sensing could enhance object recognition in real-world environments. While the citation count for this work is modest, its conceptual importance lies in bridging robotics and bio-inspired acoustics, offering a foundation for future studies in autonomous navigation and non-visual perception. Lepekha’s research contributes to the broader goal of creating more intelligent and responsive robotic systems capable of interpreting complex sensory data. Their work remains a reference point for those exploring adaptive sonar techniques and biomimetic approaches to robotic sensing.
Research Focus
Key Achievements
Top Papers
- 1Adaptive and mobile biomimetic sonar recognizes objects from echoes3 citations · 2003