About

Mohamed Sorour is a robotics researcher whose work spans autonomous mobile robots, human-robot collaboration, and bioinspired manipulation. He has made significant contributions to the field of mobile manipulation, particularly through his involvement in the BAZAR project (2019, 51 citations), which advanced collaborative robotics for next-generation manufacturing environments. Sorour is perhaps best known for his sustained work on autonomous wall-painting robotics, pioneering the concept through early system development in 2011 (33 citations) and refining it into the fully realized RoboPainter platform by 2015 (20 citations) — addressing a genuine labor shortage problem in the construction industry across both developed and developing nations. A recurring theme in Sorour's research is the challenge of controlling steerable wheeled mobile robots (SWMRs), where he has addressed motion discontinuities, singularity treatment, and kinematic modeling under joint acceleration constraints (earning combined citations exceeding 48). His 2019 work on mobile manipulation further extended these contributions to human-shared environments. Most recently, his AntGrip project (2025) demonstrates a creative turn toward nature-inspired gripper design, mimicking ant mandible hairs to improve bin-picking performance. Across his career, Sorour's research consistently bridges theoretical rigor with practical, industry-relevant robotics applications.

Research Focus

Key Achievements

7
H-Index
8
Papers
164
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
A collaborative robot for the factory of the future: BAZAR
51 citations · 2019
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Centre National de la Recherche Scientifique, Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, University of Lincoln, University of Edinburgh

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago