Harumi Veny
Papers
1
Total Citations
2
H-Index
1
About
Harumi Veny is a researcher specializing in autonomous robotics and intelligent control systems, with a particular focus on autonomous surface vehicles (ASVs) and their navigation capabilities. Her work addresses the critical challenge of obstacle avoidance in unmanned maritime systems, where she has pioneered the application of the Fuzzy Kohonen Network (FKN) as a decision-making framework for ASVs. In her most-cited paper, "Autonomous Surface Vehicle (ASV) Obstacle Avoidance Using Fuzzy Kohonen Network (FKN)" (2019, 2 citations), Veny demonstrates how FKN can serve as an adaptive "brain" for robot boats, enabling them to detect obstacles, measure distances, and navigate autonomously in real-time. This contribution bridges fuzzy logic and neural network approaches, offering a robust solution for dynamic maritime environments. While her citation count is modest, her research lays foundational groundwork for safer, more intelligent autonomous navigation in marine robotics, with potential applications in environmental monitoring, search-and-rescue, and defense. Veny’s work reflects a commitment to advancing practical, real-world autonomous systems, making her a notable emerging voice in the field of intelligent robotics and control engineering.
Research Focus
Key Achievements
Top Papers
- 1