Yingbing Chen

Papers

Total Citations

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About

Yingbing Chen is a robotics researcher whose work focuses on autonomous navigation and motion planning for mobile robots in dynamic environments. Their most-cited paper, "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 contribution addresses the critical challenge of real-time, independent navigation, enabling mobile robots to operate safely and efficiently in unpredictable settings. By integrating these techniques within the Robot Operating System (ROS), Chen's work provides a practical framework for autonomous systems, bridging the gap between theoretical algorithms and real-world deployment. Though early in their career, Chen's research lays important groundwork for advancing robot autonomy, with potential applications in service robotics, industrial automation, and autonomous vehicles. Their focus on robust, adaptive navigation solutions continues to influence emerging work in the field, making their contributions a valuable reference for students and researchers developing intelligent mobile systems.