Xinhai Tong

Beijing Electronic Science and Technology Institute

Papers

Total Citations

H-Index

About

Xinhai Tong is a researcher whose work lies at the intersection of robotics, artificial intelligence, and optimization algorithms. His primary research area focuses on developing intelligent path planning solutions for mobile robots, with a particular emphasis on enhancing the efficiency and adaptability of autonomous navigation systems. Tong’s most notable contribution is his pioneering work on a hybrid genetic algorithm for optimum path planning, first published in 2006. This approach introduces a novel self-adaptive mechanism for controlling crossover and mutation probabilities, replacing traditional adjustment algorithms to significantly improve the performance of genetic algorithms in robotic navigation. The impact of this work is demonstrated by its sustained citation record, with the paper accumulating 25 citations and a related version reaching 17 citations, reflecting its influence on subsequent research in mobile robotics and evolutionary computation. Tong’s contributions have helped advance the field of autonomous systems by providing more robust and efficient methods for robots to navigate complex environments, making his work essential reading for students and researchers interested in optimization-based robotics and intelligent control systems.