M. Jallouli Jallouli

Embedded Systems (United States)

Papers

2

Total Citations

15

H-Index

2

About

M. Jallouli Jallouli is a researcher specializing in autonomous navigation, robotics, and embedded systems, with a focus on assistive technologies and real-time control. Their major contributions include developing a robust autonomous wheelchair navigation system that uses 3D sensors for real-time obstacle detection, enabling safe and adaptive movement in dynamic environments—a work that has garnered 12 citations for its practical impact on mobility assistance. Additionally, Jallouli has advanced hardware-software co-design by implementing absolute robot localization on FPGA platforms using webcam data, achieving efficient and precise motion control from initial to target positions, cited 3 times for its innovative integration of vision and reconfigurable computing. Their work bridges the gap between theoretical algorithms and deployable solutions, emphasizing real-time performance and user safety. Jallouli’s research is particularly notable for addressing real-world challenges in autonomous systems, from wheelchair navigation to FPGA-based localization, demonstrating a commitment to accessible, high-performance robotics. This blend of assistive technology and embedded system design positions Jallouli as a contributor to the future of intelligent, responsive autonomous vehicles.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous wheelchair navigation with real time obstacle detection using 3D sensor
12 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Embedded Systems (United States)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago