Chaoda Chen

Guangzhou Maritime College, Guangdong University of Technology

Papers

Total Citations

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About

Chaoda Chen is a robotics researcher focused on advancing autonomous systems through control theory, machine learning, and computer vision. His primary research areas include robotic arm control, mobile robot trajectory tracking, and binocular vision-based recognition. Chen’s major contributions lie in developing robust control strategies for complex robotic systems. Notably, his work on a six-degree-of-freedom robotic arm control system (2024, 3 citations) addresses trajectory planning and motion for multi-joint manipulators, offering practical design solutions for industrial automation. In mobile robotics, Chen proposed an adaptive super-twisting sliding mode controller integrated with neural networks (2022, 2 citations), significantly improving response speed and robustness in wheeled mobile robots—a key advancement for dynamic environments. Additionally, his research on binocular positioning for robot vision recognition (2024, 1 citation) targets real-world applications like autonomous golf ball retrieval, combining upper and lower binocular bionic systems to enhance picking efficiency and reduce labor costs. While still early in his career, Chen’s work demonstrates a clear trajectory toward integrating intelligent control and perception, laying groundwork for more adaptive and efficient robotic systems in manufacturing, service, and field robotics.