Jiaying Gao

Papers

Total Citations

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About

Jiaying Gao’s research lies at the intersection of robotics, computer vision, and intelligent control, with a distinctive focus on autonomous billiard-playing systems. Her work addresses the complex challenges of real-time object recognition, dynamic modeling, and precision control in high-speed, multi-body collision environments. Gao’s most impactful contribution is her 2018 paper, “Design of an efficient multi-objective recognition approach for 8-ball billiards vision system,” which has garnered 10 citations and presents a novel framework for robust visual perception under varying lighting and occlusion conditions. She also pioneered the use of multiple Neural Network compensators for billiard robots, enabling a trained robot to execute multi-cushion rebound trajectories with high accuracy. In her 2016 work, Gao developed a fuzzy neural network-based dynamic model to predict cue ball behavior after collisions, establishing a collision coordinate system that significantly improves trajectory forecasting. Though her citation counts are modest, her focused, application-driven approach demonstrates how AI and robotics can tackle real-world physical tasks requiring both perception and control. Gao’s research offers a compelling case study for students interested in integrating machine learning with mechanical systems.