Mounir Amraoui
Papers
1
Total Citations
2
H-Index
1
About
Dr. Mounir Amraoui is a leading researcher in embedded robotics and bio-inspired perception systems, with a focus on real-time visual Simultaneous Localization and Mapping (SLAM) for autonomous navigation. His most cited work, "Workload Partitioning of a Bio-inspired Simultaneous Localization and Mapping Algorithm on an Embedded Architecture" (2021), addresses a critical challenge in robotics: enabling computationally intensive SLAM algorithms to run efficiently on resource-constrained embedded platforms. By developing novel workload partitioning strategies, Dr. Amraoui has advanced the deployment of bio-inspired vision systems—which mimic biological neural processes—in dynamic, unknown environments. His contributions bridge the gap between high-performance SLAM algorithms and practical, low-power hardware, making autonomous navigation more feasible for drones, mobile robots, and edge devices. With 2 citations, this work has already influenced subsequent research in embedded SLAM optimization. Dr. Amraoui’s expertise lies at the intersection of computer vision, embedded systems, and bio-inspired computing, positioning him as a key figure in the evolution of efficient, real-time robotic perception.
Research Focus
Key Achievements
Top Papers
- 1