Papers
107
Total Citations
2,757
H-Index
29
About
Xiaoqi Chen is a distinguished robotics and automation researcher whose work spans human-robot collaboration, agricultural robotics, robotic manufacturing, and brain-computer interfaces. With a career marked by consistently influential contributions, Chen has accumulated nearly 1,300 citations across his most recognized works alone, reflecting the broad reach of his research. Chen's early work addressed precision manufacturing challenges, with his robotic grinding and polishing systems for turbine vane overhaul (2002, 168 citations) and his SMART robotic system for 3D profile airfoil repair (2003, 121 citations) establishing him as a pioneer in automated aerospace maintenance. His 2008 literature review on human-robot collaboration (304 citations) remains a landmark reference, synthesizing research directions and introducing augmented reality frameworks that continue to influence the field. Beyond manufacturing, Chen has demonstrated remarkable versatility — developing an intelligent grape vine pruning robot (2016, 218 citations) that combines trinocular stereo vision and AI planning, and exploring EEG-controlled robotic systems through brain-computer interfaces (2020, 75 citations). His recent work applying machine learning techniques like XGBoost and extreme learning machines to robotic belt grinding reveals a forward-thinking integration of artificial intelligence into precision automation, cementing his legacy as an innovator bridging traditional robotics with emerging intelligent systems.
Research Focus
Key Achievements
Top Papers
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- 2A Robot System for Pruning Grape Vines218 citations · 2016
- 3Robotic grinding and polishing for turbine-vane overhaul168 citations · 2002
- 4SMART Robotic System for 3D Profile Turbine Vane Airfoil Repair121 citations · 2003
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