Shaohui Hong

Papers

Total Citations

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About

Shaohui Hong’s research focuses on mobile robotics, autonomous navigation, and control systems, with particular emphasis on real-time motion planning and dynamic balance. Their most cited work, “Motion planning implemented in ROS for mobile robot” (2017, 8 citations), introduces a hybrid path planning approach that combines safe global path planning with an improved adaptive window method. This innovation enables mobile robots to navigate dynamic environments autonomously and in real time, addressing a critical challenge in safe, efficient robot movement. In another notable contribution, “A method to coordinate balance and speed control of a two-wheeled robot” (2017, 3 citations), Hong applies Kalman filter data fusion from gyroscope and accelerometer readings to achieve accurate pitch angle estimation, enabling stable balance and coordinated speed control for inherently unstable two-wheeled platforms. These works demonstrate Hong’s ability to integrate sensor fusion, control theory, and practical implementation in ROS, offering valuable solutions for autonomous systems. Their research has implications for service robots, industrial automation, and mobile platforms requiring robust, real-time decision-making.