Papers
2
Total Citations
8
H-Index
2
About
R. Benbouali’s research centers on multi-agent control architectures for mobile manipulators, with a specific focus on integrating vision systems and trajectory planning for complex operational tasks. Their major contributions lie in developing a six-agent control framework that enables mobile manipulators to follow predefined operational trajectories while dynamically avoiding obstacles, and to extract 3D coordinates of objects using an eye-in-hand camera system. This work addresses critical challenges in autonomous robotics, particularly in coordinating mobile base and manipulator actions through distributed agent supervision, local control, and remote operation. Although their most-cited papers have garnered 4 citations each, these foundational studies have established key methodologies for multi-agent coordination in robotic systems. Benbouali’s research is notable for its practical approach to real-world robotic applications, bridging the gap between theoretical control architectures and tangible implementation in environments requiring precise end-effector positioning and obstacle avoidance. Their work remains relevant for researchers exploring decentralized control, visual servoing, and human-robot collaboration in mobile manipulation.
Research Focus
Key Achievements
Top Papers
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