Papers
2
Total Citations
10
H-Index
2
About
A. M. Elshaer is a researcher at the forefront of intelligent robotics and sustainable transportation systems. Their work bridges the critical gap between algorithmic optimization and real-world autonomous navigation, with a particular focus on green mobility and educational robotics. Elshaer’s most influential contribution, "Exploring Algorithmic Efficiency of A-Star and Dijkstra for Optimal Route Planning in Green Transportation," has already garnered 8 citations since its 2025 publication, establishing a foundational framework for energy-efficient pathfinding in eco-friendly transport networks. In parallel, their kinematic analysis of the Jupiter robot arm—a platform renowned for its impact in educational settings through autonomous navigation and visual perception capabilities—has advanced the stability and motion precision of learning-oriented AI systems. By designing a robust kinematic model for Jupiter’s arm, Elshaer has directly enhanced the robot’s ability to maintain navigation stability while executing complex tasks. This dual focus on theoretical algorithm efficiency and practical robotic implementation positions Elshaer as a rising voice in intelligent systems, whose work promises to shape both the next generation of green transportation infrastructure and the evolution of autonomous educational robots.
Research Focus
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Top Papers
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