Papers
2
Total Citations
15
H-Index
2
About
Alireza Nikookar is a researcher focused on the intersection of robotics and computational intelligence, with a primary emphasis on path planning for autonomous systems. His work is particularly centered on soccer robots, where efficient and smooth navigation is critical for competitive performance. Nikookar’s major contributions lie in the application of nature-inspired optimization algorithms to refine robotic trajectories. Specifically, he pioneered the use of the Artificial Bee Colony (ABC) algorithm to optimize cubic Ferguson splines for soccer robot path planning, a method that achieved 13 citations and demonstrated how swarm intelligence can generate collision-free, smooth paths in dynamic environments. He further extended this approach by applying Differential Evolution to the same problem, exploring alternative optimization techniques for spline-based navigation. While his citation counts are modest, his work represents an early and targeted effort to integrate metaheuristic optimization with spline mathematics for real-time robotic applications. Nikookar’s research is notable for its practical focus on improving the agility and precision of soccer robots, contributing to the broader field of autonomous navigation in constrained, fast-paced settings.
Research Focus
Key Achievements
Top Papers
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