Jinhuan Wang

Hebei University of Technology, City Institute, Dalian University of Technology

Papers

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About

Jinhuan Wang is a leading researcher in the control and optimization of multi-robot systems, with a particular focus on nonholonomic mobile robots operating under networked constraints. Her major contributions lie in developing distributed control strategies that address real-world challenges such as energy efficiency and communication limitations. In her highly cited 2017 work (53 citations), she pioneered distributed sampled-data control methods for nonholonomic multi-robot systems with proximity networks, enabling coordinated motion without continuous communication. Building on this, Wang tackled the critical issue of energy optimization in multi-robot systems through her 2019 study on distributed event-triggered optimization algorithms, where she minimized global battery consumption by coordinating robot actions only when necessary. More recently, she has expanded into practical applications with her 2024 work on an Intelligent Home Butler System based on OneNET, integrating voice control, environmental monitoring, and cloud connectivity using Raspberry Pi. Wang’s research bridges theoretical control theory with practical implementation, making her work essential reading for researchers in robotics, distributed systems, and cyber-physical systems.