Aymeric de Cabrol

Université Sorbonne Paris Nord, Laboratoire Traitement et Communication de l’Information

Papers

Total Citations

H-Index

About

Aymeric de Cabrol’s research centers on real-time computer vision for autonomous mobile robotics, with a particular focus on enabling robots to perceive and navigate their environments through efficient image segmentation. His major contributions lie in developing dynamically reconfigurable vision systems and optimizing computationally intensive visual tasks for embedded robotic platforms. Notably, his most cited work, “A concept of dynamically reconfigurable real-time vision system for autonomous mobile robotics” (2008, 14 citations), introduces a flexible framework that adapts to varying computational demands, a critical advancement for resource-constrained robots. De Cabrol also pioneered video-rate color region segmentation for applications like RoboCup, where his 2006 paper (7 citations) achieved rapid classification for Sony legged robots. His 2005 work on temporally optimized edge segmentation (4 citations) further advanced 3D environment modeling through stereovision. While his citation counts are modest, de Cabrol’s research addresses a persistent challenge in robotics: balancing processing speed with accuracy in real-time vision. His focus on practical, deployable algorithms—such as color region extraction for navigation and obstacle avoidance—demonstrates a commitment to bridging the gap between theoretical computer vision and real-world robotic autonomy, making his work foundational for students and engineers building efficient embedded vision systems.