Pengliang Hou

Shandong University of Science and Technology

Papers

Total Citations

H-Index

About

Pengliang Hou is a researcher whose work lies at the intersection of robotics, optimization, and artificial intelligence. His most notable contribution, the 2017 paper "Path planning of mobile robot based on genetic algorithm and gene rearrangement," has garnered 20 citations and introduced an innovative approach to mobile robot navigation. By combining genetic algorithms with a gene rearrangement mechanism and a multi-plane model, Hou developed a more efficient method for solving path planning problems—a critical challenge in autonomous systems. This work demonstrates his ability to enhance classical optimization techniques for practical robotics applications. While his citation count reflects a focused, emerging impact, his research is particularly relevant for students and engineers working on autonomous navigation, evolutionary computation, and intelligent control systems. Hou’s contributions offer a foundation for further exploration into adaptive path planning strategies, making his work a valuable reference for those seeking to improve robot autonomy in complex environments.