Papers
10
Total Citations
577
H-Index
6
About
Xiao Dong Chen is a pioneering researcher at the intersection of intelligent robotics, advanced materials, and automation systems. His work spans multiple transformative domains, including 3D-printed stimuli-responsive devices, robotic force control, agricultural robotics, and teleoperation systems. Chen’s most impactful contribution is his 2017 paper on 3D-printed photoresponsive shape memory composites, which has garnered 481 citations and revolutionized the design of stimuli-responsive devices by enabling complex, macrolevel geometries that respond to external triggers. He has also made significant strides in robot force control, developing end-point contact force strategies using quantitative feedback theory, and in agricultural automation with a computer vision system for cucumber fruit recognition in greenhouses. His recent work explores cutting-edge topics such as 5G-enabled bilateral teleoperation, cloud-based robot controllers, and soft tactile sensors using graphene-polyurethane sponges. Chen’s research has practical implications for industries ranging from manufacturing to healthcare, as evidenced by his 2025 study on single-port robotic systems for colorectal surgery. With over 570 total citations and a portfolio that bridges fundamental robotics with applied materials science, Chen stands as a versatile innovator shaping the future of intelligent, responsive robotic systems.
Research Focus
Key Achievements
Top Papers
- 13D Printed Photoresponsive Devices Based on Shape Memory Composites481 citations · 2017
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- 3Recognition of greenhouse cucumber fruit using computer vision30 citations · 2007
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