Sheng-Kai Huang

Tamkang University, National Central University

Papers

Total Citations

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About

Sheng-Kai Huang is a robotics researcher whose work focuses on intelligent control systems and multi-robot navigation. His key contributions lie in developing practical algorithms for autonomous mobile robots operating in complex, dynamic environments. Huang’s most cited work, "Sequentially switched fuzzy-model-based control for wheeled mobile robot with visual odometry" (2016, 19 citations), pioneered a robust control strategy that integrates fuzzy logic with visual odometry, enabling wheeled robots to navigate reliably even when sensor data is noisy or intermittent. Building on this foundation, his 2022 paper "A New Multirobot Path Planning With Priority Order Based on the Generalized Voronoi Diagram" (11 citations) introduces the Priority Order Navigation Algorithm (PONA), a novel method that guarantees collision-free and efficient travel for multiple robots in large spaces with both fixed and dynamic obstacles. By intelligently assigning priority orders, PONA resolves coordination conflicts without requiring complex communication networks. Huang’s work bridges theoretical control theory with real-world robotic applications, offering scalable solutions for warehouse automation, search-and-rescue missions, and autonomous transportation systems. His research continues to influence the development of safer, more efficient multi-robot systems.