Roei Zigelman
Papers
1
Total Citations
4
H-Index
1
About
Roei Zigelman is a researcher at the forefront of bio-inspired robotics and sensorimotor systems, with a particular focus on acoustic tracking and autonomous drone navigation. His most-cited work, "A bio-mimetic miniature drone for real-time audio based short-range tracking" (2022), tackles one of the most challenging sensorimotor behaviors in nature: the ability to track a moving target using only sound emissions. This research draws inspiration from flying animals—from insects to mammals—that localize conspecifics, mates, or prey through acoustic cues. Zigelman’s key contribution lies in engineering a miniature drone capable of overcoming the computational and physical constraints of real-time audio-based pursuit, a feat that requires integrating lightweight hardware with sophisticated signal processing. While his citation count is still growing, this work has already garnered attention for its novel approach to bio-mimetic design and its potential applications in search-and-rescue, wildlife monitoring, and autonomous systems. Zigelman’s research bridges biology and engineering, offering a compelling glimpse into how nature’s solutions can inspire next-generation robotics.
Research Focus
Key Achievements
Top Papers
- 1