Papers
16
Total Citations
199
H-Index
6
About
Mourad Benoussaad is a robotics researcher whose work spans human-robot interaction, collaborative manipulation, and advanced control systems. His most influential contributions center on enabling safe, intelligent coexistence between humans and robots — a challenge of growing importance as robots move from isolated industrial settings into shared workspaces. His 2022 study on robust variable admittance control for human-robot co-manipulation (57 citations) addressed the practical difficulty of handling objects with unknown loads, while his paired 2020 works on collision avoidance using Kinect vision and robot data fusion (46 and 33 citations respectively) established reliable frameworks for contact-free human-robot space sharing, even when robots are partially occluded from sensors. Beyond physical interaction, Benoussaad has explored physics-informed machine learning for robotic inverse dynamics and impedance control within the port-Hamiltonian framework, reflecting a commitment to theoretically grounded, real-world robotics. Earlier in his career, he made meaningful contributions to Functional Electrical Stimulation for spinal cord-injured patients, bridging biomedical engineering and control theory. More recently, his work on human-centric frameworks for Industry 4.0 assembly underscores his vision of robots as collaborative partners in manufacturing. With a growing citation record exceeding 180 citations, Benoussaad represents an important voice in next-generation human-centered robotics.
Research Focus
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Top Papers
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- 8Human-Centric Framework for Robotic Assembly for Industry of the Future5 citations · 2024
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