Liangliang Cui

Shenzhen Institute of Information Technology, South China University of Technology

Papers

Total Citations

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About

Liangliang Cui is a robotics researcher whose work focuses on autonomous navigation, intelligent control, and real-world deployment of mobile robots. His research addresses critical challenges in indoor robotics, including door crossing, path planning, and dynamic balance control. Cui’s most cited paper (17 citations) presents a method for detecting, locating, and crossing narrow doors using a Kinect sensor—a key capability for wide indoor surveillance robots that must navigate constrained environments autonomously. He further advanced mobile robot navigation with a novel local path planning approach that optimizes both robot posture and path smoothness (7 citations), addressing a gap in traditional methods that often neglect these factors. In the domain of dynamic stability, Cui developed a learning-based control strategy using support vector regression to balance a two-wheeled self-balancing robot (6 citations), demonstrating how machine learning can enable stable control of inherently unstable systems. His work bridges practical navigation challenges with intelligent control techniques, contributing to more capable and adaptable autonomous robots for real-world indoor applications.