Zhou Ting

Beijing Jiaotong University, Hunan Institute of Science and Technology

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About

Dr. Zhou Ting is a researcher whose work bridges the critical fields of robotics control and 3D geometric deep learning. In robotics, Dr. Zhou is recognized for pioneering advancements in the trajectory tracking control of spherical robots. Their highly cited 2019 paper, "Trajectory Tracking Control of a Spherical Robot Based on Adaptive PID Algorithm" (23 citations), addressed a significant gap in the field by developing an adaptive PID controller that effectively manages the complex, nonlinear dynamics of spherical robots, laying crucial groundwork for autonomous navigation in this unique platform. More recently, Dr. Zhou has made a notable impact on 3D point cloud analysis with their 2025 work, "Geometrically aware transformer for point cloud analysis" (9 citations). This study introduces PointGA, a lightweight Transformer-based model that enhances geometric perception—a critical challenge for applications in autonomous driving and robotic perception. By improving how neural networks understand spatial structure, this work represents a significant step toward more efficient and accurate 3D scene understanding. Dr. Zhou’s trajectory from classical control theory to modern geometric deep learning demonstrates a versatile and forward-looking research agenda, making them a compelling figure in the evolution of intelligent robotic systems.