About

Arezki Abderrahim Chellal is an emerging robotics researcher whose work spans mobile robotics, rehabilitation engineering, battery management systems, and unmanned aerial vehicles. His most significant contributions lie at the intersection of intelligent energy management and robotic autonomy, where he has developed advanced battery state-of-charge estimation techniques using Extended Kalman Filter approaches — most notably the Dual Coulomb Counting Extended Kalman Filter (DCC-EKF) — enabling more reliable and accurate power management for mobile robots. His 2021 paper on battery management systems for mobile robots has garnered 11 citations, reflecting strong community interest in this practical challenge. Chellal has also made notable strides in rehabilitation robotics, designing distributed data acquisition architectures and control software such as SmartHealth for upper limb rehabilitation, contributing meaningfully to a field with significant clinical implications. His broader research portfolio demonstrates impressive versatility, encompassing YOLO-based insect detection via UAVs, solar panel cleaning robots, and comparative analyses of robotic platforms and controller architectures. With over 60 cumulative citations across a concentrated body of work, Chellal represents a productive and multidisciplinary voice in applied robotics research, offering valuable contributions for students and engineers working at the frontier of autonomous and assistive systems.

Research Focus

Key Achievements

5
H-Index
11
Papers
62
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Battery Management System For Mobile Robots based on an Extended Kalman Filter Approch
11 citations · 2021
📈 Most Prolific Year: 2021 (6 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: École Supérieure en Sciences Appliquées de Tlemcen, University of Trás-os-Montes and Alto Douro, Polytechnic Institute of Bragança

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago