Fengming Hao

Nanjing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Dr. Fengming Hao is a researcher in computational intelligence and robotics, whose work focuses on advancing heuristic optimization algorithms for autonomous systems. Their most notable contribution is an improved sparrow search algorithm for mobile robot path planning, which introduces a Tent map for population initialization and opposition-based learning to enhance diversity and convergence. This work, published in 2022, has already garnered 2 citations, signaling growing interest in their innovative approach to solving complex navigation problems. Dr. Hao’s research bridges the gap between nature-inspired metaheuristics and practical robotics, offering efficient solutions for real-time path planning in dynamic environments. By refining the sparrow search algorithm, they have addressed key limitations in local optima avoidance and search speed, making their method a valuable tool for autonomous mobile robots. Their work is particularly relevant for students and researchers exploring swarm intelligence, optimization theory, and robotic control systems. Dr. Hao’s contributions demonstrate a commitment to improving algorithm robustness and applicability, laying groundwork for future advancements in intelligent transportation and industrial automation.