Mohamed A. Elbanna

University of Nottingham

Papers

1

Total Citations

73

H-Index

1

About

Mohamed A. Elbanna is a leading researcher in continuum robotics, with a focus on designing slender, flexible robotic systems for high-stakes applications ranging from industrial inspection to minimally invasive surgery. His most-cited work, "A Continuum Robot for Remote Applications: From Industrial to Medical Surgery With Slender Continuum Robots" (2022, 73 citations), addresses the critical challenge of navigating tortuous, constrained environments where traditional rigid tools fail. Elbanna’s major contribution lies in advancing the design and control of continuum robots that can safely maneuver through complex geometries, enabling precise remote operations in both industrial maintenance and surgical settings. His research bridges the gap between engineering and clinical practice, offering solutions that enhance operator dexterity and reduce procedural risks. With a growing citation impact, Elbanna is recognized for pushing the boundaries of soft and continuum robotics, and his work has been instrumental in demonstrating how bio-inspired, flexible mechanisms can revolutionize access to hard-to-reach targets. His achievements underscore a commitment to translating robotic innovation into real-world medical and industrial breakthroughs.

Research Focus

Key Achievements

1
H-Index
1
Papers
73
Total Citations
73
Avg Citations/Paper
🏆 Most Cited Paper
A Continuum Robot for Remote Applications: From Industrial to Medical Surgery With Slender Continuum Robots
73 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Nottingham

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 21 days ago