Papers
25
Total Citations
256
H-Index
10
About
Mohamed Fanni is a pioneering roboticist whose work spans climbing robots, agricultural robotics, surgical manipulators, and hybrid aerial-ground systems. He is best known for developing the EJBot series of propeller-type climbing robots, which use a novel adhesion principle inspired by aviation to climb structures made of any material—including non-ferromagnetic surfaces—while overcoming significant obstacles. His most cited paper (50 citations) introduces a tele-operated version for inspecting petrochemical vessels, demonstrating real-world industrial impact. Fanni has also advanced agricultural robotics by applying deep learning to detect early-stage fall armyworm larvae from stereo camera data (20 citations), enabling precise pest neutralization. In surgical robotics, he designed a 3-DOF parallel manipulator for minimally invasive surgery (13 citations) and implemented a teleoperated endoscopic system using haptic feedback. His work on high-speed flexible robot arms integrates topology optimization with control design (19 citations), and he has developed machine learning methods for end-effector position estimation in flexible manipulators (16 citations). Fanni’s hybrid ground/aerial robot concept (13 citations) further showcases his versatility, combining quadrotor flight with wheeled mobility. With over 200 total citations across these contributions, Fanni’s research consistently bridges theoretical innovation and practical deployment, making him a key figure in climbing robotics, precision agriculture, and medical robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6A novel propeller-type climbing robot for vessels inspection15 citations · 2015
- 7Novel hybrid ground/aerial autonomous robot13 citations · 2012
- 8Workspace mapping and control of a teleoperated endoscopic surgical robot13 citations · 2014
- 9
- 10Modeling and control of a novel Hybrid Ground Aerial Robot11 citations · 2013