Sheng-Kai Huang

Papers

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About

Sheng-Kai Huang is a robotics researcher whose work centers on multi-robot coordination, path planning, and sensor-based control for autonomous mobile systems. His most impactful contribution is the development of the Navigation Strategy with Path Priority (NSPP), published in 2021, which addresses the complex challenge of coordinating multiple robots moving through shared spaces with static and dynamic obstacles. By leveraging Generalized Voronoi Diagrams, Huang's approach assigns path-priority orders to robots, enabling efficient and collision-free navigation—a critical advancement for warehouse logistics and industrial automation. This work has garnered 43 citations, reflecting its relevance to the field. Huang also explores the practical limitations of laser-range-finder (LRF) sensing in mobile robot localization and control. His 2017 study integrates fuzzy control with LRF data to stabilize robot position and orientation, addressing real-world sensing constraints often overlooked in theoretical designs. Through these contributions, Huang bridges the gap between algorithmic path planning and robust sensor-based execution, offering pragmatic solutions for autonomous systems operating in dynamic environments.