Abdenour Amamra

Cranfield University, Polytechnic School of Algiers

Papers

Total Citations

H-Index

About

Abdenour Amamra’s research bridges the critical intersection of real-time computer vision and decentralized swarm intelligence. His early work on GPU-based real-time RGBD data filtering (2014, 12 citations) laid a foundation for efficient 3D sensor processing, enabling rapid environmental perception in resource-constrained robotic systems. More recently, Amamra has become a leading voice in swarm robotics, authoring a comprehensive survey on the field (2022, 5 citations) that synthesizes decades of progress in collective robotic behavior. His most impactful contribution tackles the fundamental challenge of collective perception—how a swarm of robots can reach consensus about their environment without central coordination. In his 2023 work on maximum likelihood estimate sharing for static environments, Amamra introduced a novel probabilistic framework that allows robots to share and fuse local observations, dramatically improving decision accuracy in tasks like environmental feature detection. This work is particularly notable for its mathematical rigor and practical applicability to real-world swarms. With a career spanning hardware-accelerated vision to theoretical swarm algorithms, Amamra’s research offers a rare combination of low-level sensor processing and high-level collective intelligence, making him a key figure for students interested in the future of autonomous multi-robot systems.