Shenghui Pan

Guangxi University of Science and Technology

Papers

Total Citations

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About

Shenghui Pan is a robotics researcher whose work focuses on the control and monitoring of mobile robotic systems, particularly wheeled mobile robots. His most significant contribution is a sliding mode control method for trajectory tracking, which addresses critical challenges in robot navigation—namely, parameter perturbations and external interference that cause slow tracking speeds. This foundational work, published in 2018, has garnered 16 citations, establishing Pan as a contributor to robust control theory in mobile robotics. Pan also advanced the field of remote robotics by designing a monitoring system for multiple mobile robots using the OneNet cloud platform. This system leverages GPRS communication and a custom application protocol to enable real-time, anywhere-anytime robot data transmission and oversight, a practical innovation for IoT-integrated robotics. With 8 citations, this work highlights his ability to bridge theoretical control methods with cloud-based infrastructure. Pan’s research is notable for its direct applicability to real-world autonomous systems, offering solutions that enhance both the precision of individual robot movement and the scalability of multi-robot fleet management. His achievements reflect a commitment to making mobile robots more reliable, responsive, and remotely accessible.