Papers
8
Total Citations
124
H-Index
7
About
Omar Salah is a robotics researcher whose work bridges autonomous navigation and assistive technologies for human-robot interaction. His primary research areas include mobile robot path planning, sensor fusion systems, and assistive robotics for elderly care and surgical applications. Salah’s most influential contribution is the **Radial Cell Decomposition (RCD) algorithm** (2021, 28 citations), which optimizes path planning for mobile robots in time-critical environments like factories and hospitals. He also developed the **Obstacle-Guided Path Refinement (OGPR)** algorithm for wide terrains, addressing computational efficiency in agricultural and exploratory robotics. In assistive technology, Salah pioneered an **ANFIS-based sensor fusion system** (2013, 27 citations) for sit-to-stand motion analysis in elderly assistive devices, and a **fuzzy logic controller with load compensation** (2018) for upper limb exoskeletons. His work on a **hybrid concentric tube-tendon driven continuum robot** (2021) advances minimally invasive surgery. With over 100 total citations across his publications, Salah’s research demonstrates a consistent focus on making robots more intelligent, responsive, and safe for real-world human interaction—from autonomous navigation in complex terrains to physically supporting elderly and surgical patients.
Research Focus
Key Achievements
Top Papers
- 1RCD: Radial Cell Decomposition Algorithm for Mobile Robot Path Planning28 citations · 2021
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