Hisham M. El-Sherif
Papers
2
Total Citations
4
H-Index
2
About
Hisham M. El-Sherif is a robotics researcher specializing in bio-inspired path planning and navigation algorithms. His work focuses on developing physical model-based approaches that mimic natural systems, particularly through enhanced fluid potential dynamical models and stream field navigation techniques. El-Sherif addresses critical challenges in robotic path planning, including computational efficiency and real-time adaptability in kinematic environments. His most-cited paper (2022, 2 citations) introduces a framework using enhanced fluid potential dynamical models to calculate optimal paths from start to goal, overcoming limitations of traditional artificial potential fields. His second major contribution (2022, 2 citations) presents a method for computational time reduction in stream field navigation through dynamic path search and selection, offering an alternative to combinatorial and sampling-based algorithms that require field representation through node sets and search techniques. While early in his career, El-Sherif's work represents an important step toward more natural, efficient navigation systems that could enable robots to operate more effectively in complex, dynamic environments. His research bridges theoretical fluid dynamics with practical robotics applications, contributing to the growing field of nature-inspired autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1
- 2