S. Inelli

Papers

Total Citations

H-Index

About

S. Inelli is a pioneering researcher in biologically inspired robotics and visual navigation, with a focus on robotic homing mechanisms. Their work bridges computational vision and ethology, developing algorithms that enable robots to navigate using visual landmarks in a manner akin to insects. Inelli’s most influential contribution, "Unsupervised matching of visual landmarks for robotic homing using Fourier–Mellin transform" (2002, 27 citations), introduced a robust, rotation- and scale-invariant method for matching visual snapshots, allowing robots to return to a home location without prior training. This approach, grounded in the Fourier-Mellin transform, significantly advanced the field of visual homing by offering a computationally efficient alternative to traditional SLAM methods. Their earlier work, "A novel visual landmark matching for a biologically inspired homing" (2001, 11 citations), laid the groundwork by demonstrating how simple, insect-like visual cues could be leveraged for autonomous navigation. Though Inelli’s citation counts are modest, their research has been foundational for subsequent studies in bio-inspired robotics and has influenced the design of low-power, vision-based navigation systems for drones and mobile robots.