Donghong Chen

Papers

Total Citations

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About

Donghong Chen is a robotics researcher whose work centers on autonomous navigation, sensor integration, and mobile robot control systems. Chen’s most cited study, “Design of Ackerman Mobile Robot System Based on ROS and Lidar” (2021, 6 citations), presents a practical architecture combining an i5 industrial control computer running Ubuntu with an STM32 microcontroller for driving control. By integrating ROS (Robot Operating System) with lidar-based environmental perception, this work demonstrates a cost-effective, modular approach to building Ackerman-steering robots capable of real-time obstacle detection and path planning. The system’s design emphasizes scalability and real-world applicability, making it a useful reference for researchers developing autonomous ground vehicles. Chen’s contributions bridge hardware and software layers in robotics, offering clear implementation pathways for students and engineers entering the field. While citation counts are modest, the work’s practical focus on ROS-lidar integration and embedded control has informed subsequent studies in mobile robotics and autonomous navigation. Chen continues to explore intelligent control systems, contributing to the growing body of open-source, ROS-based robotic platforms.