Shengchao Qin

Shenzhen University, Teesside University

Papers

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About

Shengchao Qin is a leading researcher in multi-robot navigation and hierarchical model predictive control (HMPC), with a focus on ensuring stability and feasibility in complex, switched linear dynamical systems. His major contributions include pioneering a hierarchical MPC framework that provides theoretical guarantees for multi-robot navigation without reference trajectories—a challenge that heuristic-search methods fail to address. His most cited work, "Hierarchical model predictive control for multi-robot navigation" (2016, 12 citations), establishes stability as a core requirement, while his subsequent paper on switched linear systems (2017, 6 citations) advances fast, reliable control decisions. Notably, his 2020 study on wheeled mobile robots (WMRs) reveals a critical limitation of existing HMPC methods, proving that non-trivial linear systems cannot handle WMR navigation, and proposes a virtual linear leader-guided solution. Qin’s research bridges theoretical rigor with practical robotics, offering foundational insights for autonomous systems. His work is essential reading for students and researchers in control theory, robotics, and multi-agent systems, demonstrating how formal methods can solve real-world navigation challenges.