Shenkai Yu

National Taipei University of Technology

Papers

Total Citations

H-Index

About

Shenkai Yu is a researcher in mobile robotics and computational intelligence, with a primary focus on autonomous navigation and path planning. His most-cited work, “Path Planning of a Mobile Robot Using Real-coded Genetic Algorithm Based Simultaneous Exploration” (2013), introduces a novel approach that employs a real-coded genetic algorithm to enable a mobile robot to simultaneously explore its environment and generate collision-free, continuous paths from start to goal. This contribution addresses a long-standing challenge in robotics: producing efficient, adaptive routes without prior knowledge of the environment. Although his citation count is modest—the paper has garnered 3 citations—the work is notable for its practical integration of evolutionary computation with real-time robotic control, offering a foundation for further studies in adaptive navigation systems. Yu’s research bridges the gap between theoretical optimization and applied robotics, demonstrating how genetic algorithms can enhance autonomous decision-making in dynamic settings. His work is particularly relevant for students and researchers interested in evolutionary robotics, sensor-based exploration, and intelligent motion planning.