Alessandro Colotti

Nantes Université, Centre National de la Recherche Scientifique

Papers

Total Citations

H-Index

About

Alessandro Colotti is a researcher at the intersection of robotics, computer vision, and nonlinear dynamics, with a focus on advancing autonomous systems through mathematical rigor. His primary research areas include image-based visual servoing, polynomial system solving, and the analysis of passive dynamic stability in biological and robotic systems. Colotti’s major contribution lies in applying computer algebra methods—specifically polynomial system solving—to enhance the precision and robustness of visual servoing for robot motion control. By leveraging algebraic techniques, he addresses complex, real-time control challenges that arise from projecting scene features onto a camera mounted on a robot. This work, detailed in his 2022 paper, has garnered 2 citations, signaling its foundational role in bridging symbolic computation and robotics. More recently, Colotti has explored the basin of attraction in bird passive balance (2025, 1 citation), offering insights into how natural systems achieve stability without active control—a concept with implications for bio-inspired robotics. His interdisciplinary approach, combining theoretical mathematics with practical robotic applications, positions him as a rising voice in the field. Colotti’s work not only advances control theory but also inspires new pathways for designing more adaptive and efficient autonomous machines.