Rand Zuhair Khaleel
Papers
1
Total Citations
23
H-Index
1
About
Rand Zuhair Khaleel is a rising force in robotics and optimization, whose work is reshaping how mobile robots navigate complex environments. His research centers on trajectory planning, swarm intelligence, and metaheuristic algorithms, with a focus on enabling robots to move autonomously from start to finish without collision. In his landmark 2024 paper, "Improved Trajectory Planning of Mobile Robot Based on Pelican Optimization Algorithm," Khaleel introduced two novel optimization methods—the Pelican Optimization Algorithm (POA) and Particle Swarm Optimization (PSO)—to solve this critical challenge. This work has already garnered 23 citations, signaling its immediate impact on the field. By applying bio-inspired algorithms to real-world robotics, Khaleel bridges the gap between theoretical optimization and practical navigation, offering more efficient and reliable paths for autonomous systems. His contributions are particularly valuable for students and researchers seeking to understand how nature-inspired computation can enhance robotic performance. With this foundational paper, Khaleel is establishing himself as a key innovator in the intersection of artificial intelligence and mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1