Yong-Ren Pu

Papers

Total Citations

H-Index

About

Yong-Ren Pu is a researcher in robotics and embedded control systems, with a primary focus on intelligent navigation and autonomous mobile platforms. His most cited work, "Application of an Embedded System for the Car-Like Mobile Robot," introduces a fuzzy logic controller implemented on an embedded system for wall-following control of car-like robots. In this study, Pu develops a kinematic model of the robot and designs a fuzzy rule set based on expert knowledge, enabling smooth and adaptive navigation in constrained environments. Although his citation count remains modest—with the top paper garnering 2 citations—his contribution lies in bridging theoretical fuzzy control with practical embedded implementation, a valuable step toward low-cost, real-time autonomous systems. Pu’s work is particularly relevant for students and researchers interested in mobile robotics, embedded systems, and intelligent control. His approach demonstrates how fuzzy logic can be effectively deployed on resource-constrained hardware, offering a foundation for further exploration in autonomous vehicle navigation and sensor-based control.