Md Yushalify Misro
Papers
1
Total Citations
10
H-Index
1
About
Md Yushalify Misro is a researcher whose work lies at the intersection of robotics, optimization algorithms, and intelligent systems. His most significant contribution is the development of the Alpha–Beta Guided Particle Swarm Optimization (ABGPSO) algorithm, a novel metaheuristic that enhances global path planning for mobile robots. This work, published in 2025, has already garnered 10 citations, reflecting its immediate impact on the field. By integrating alpha and beta guidance mechanisms into the standard Particle Swarm Optimization framework, Misro’s approach improves convergence speed and solution quality, enabling more efficient and reliable navigation in complex environments. His research addresses critical challenges in autonomous robotics, particularly in dynamic and obstacle-rich settings. Misro’s contributions are notable for their practical applicability, offering a robust tool for real-world robotic systems. As a rising voice in computational intelligence, his work continues to influence both theoretical advancements and applied robotics, making him a researcher to watch in the evolving landscape of autonomous navigation and optimization-driven design.
Research Focus
Key Achievements
Top Papers
- 1