Papers
2
Total Citations
10
H-Index
2
About
Chen Dong is a pioneering researcher in additive manufacturing and intelligent robotics, with a focus on cloud-based manufacturing systems and robotic motion planning. His major contribution lies in developing a peer-robot collaboration framework for additive manufacturing clouds, as detailed in his highly cited 2016 paper (8 citations). This work addresses critical challenges in self-sensing and resource collaboration by enabling heterogeneous 3D printing hardware to work together autonomously, laying foundational principles for scalable, distributed manufacturing platforms. More recently, Dong has advanced robotic arm obstacle avoidance through a novel hybrid improved Dung Beetle optimization algorithm (2025, 2 citations), demonstrating his ongoing commitment to solving complex, real-world motion planning problems. His research bridges the gap between cloud manufacturing and autonomous robotics, offering practical solutions for flexible production environments. Dong’s work is particularly notable for its interdisciplinary approach, combining mechanical engineering, computer science, and optimization theory to create intelligent, collaborative manufacturing ecosystems. His contributions are shaping the future of Industry 4.0, where robots and cloud platforms work in concert to enhance efficiency and adaptability.
Research Focus
Key Achievements
Top Papers
- 1Additive Manufacturing Cloud via Peer-Robot Collaboration8 citations · 2016
- 2