Papers
6
Total Citations
44
H-Index
4
About
Assia Belbachir is a leading researcher in autonomous systems, with a focus on cooperative robotics, autonomous navigation, and environmental monitoring. Her work bridges the gap between theoretical control and real-world deployment, particularly in challenging domains such as underwater, aerial, and terrestrial robotics. One of her most influential contributions is a cooperative architecture for target localization using multiple autonomous underwater vehicles (AUVs), which has garnered 16 citations and addresses the critical challenge of constrained acoustic communication in marine environments. She has also advanced the field of autonomous driving, proposing a robotic platform for evaluating autonomous systems and contributing to the broader vision of self-driving cars. In aerial robotics, Belbachir developed a forest fire localization system that combines reinforcement learning with dynamic drone control, and she introduced a generalized disturbance estimation method via an Extended Square-Root Kalman Filter for rotorcraft carrying suspended loads. Her work is notable for its interdisciplinary impact, spanning from underwater exploration to autonomous cars and drone-based disaster response, with over 40 total citations across her key papers.
Research Focus
Key Achievements
Top Papers
- 1A cooperative architecture for target localization using multiple AUVs16 citations · 2012
- 2From autonomous robotics toward autonomous cars8 citations · 2013
- 3
- 4
- 5A robotic platform to evalute autonomous driving systems4 citations · 2012
- 6