About

Youcef Mezouar is a prominent robotics researcher whose work spans visual servoing, robot manipulation, aerial robotics, and camera modeling — fields at the heart of modern autonomous systems. He is perhaps best known for his foundational contributions to image-based visual control, particularly his highly cited work on path planning in image space, which addressed a long-standing challenge in visual servoing when robots operate far from their desired configurations. These papers, accumulating nearly 450 combined citations, established important theoretical and practical frameworks still referenced widely today. Mezouar's influence extends across multiple robotics domains. His 2018 survey on deformable object manipulation (452 citations) became an essential reference for researchers tackling complex real-world tasks in surgical robotics, food handling, and domestic automation. He has also made significant contributions to UAV-based vision systems, including aerial formation control of ground robots and vision-based UAV navigation, reflecting his keen interest in multi-robot coordination. His work on fisheye camera modeling and dual quaternion-based robot kinematics further demonstrates his breadth, bridging perception and control with mathematical rigor. More recently, his research on soft robotic grippers highlights a forward-looking engagement with dexterous, compliant manipulation — an increasingly vital frontier in robotics.

Research Focus

Key Achievements

26
H-Index
135
Papers
3,256
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Robotic manipulation and sensing of deformable objects in domestic and industrial applications: a survey
452 citations · 2018
📈 Most Prolific Year: 2022 (12 Papers)
🤝 Key Collaborators: 134
🏛 Institutions: Centre National de la Recherche Scientifique, Institut de Recherche en Informatique et Systèmes Aléatoires, Université Clermont Auvergne, Institut national de recherche en sciences et technologies du numérique, Universidad de Zaragoza, Clermont Université

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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