Kangrui Feng

Papers

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About

Kangrui Feng is a leading researcher in robotic manipulation and automated manufacturing, with a focus on intelligent trajectory planning for industrial applications. His most-cited work, "An Algorithm for Painting Large Objects Based on a Nine-Axis UR5 Robotic Manipulator," has garnered 50 citations and addresses a critical challenge in manufacturing: automating the painting of large-scale surfaces. Feng's algorithm innovatively divides the process into three phases—target point acquisition, trajectory generation, and optimization—enabling robotic arms to achieve consistent, high-quality surface finishes while eliminating the physical difficulty and variability of manual painting. This contribution has significant implications for industries such as automotive and aerospace, where precision coating is essential. Beyond this flagship paper, Feng's research explores broader themes in robotics, including sensor integration and adaptive control, pushing the boundaries of what autonomous systems can accomplish in complex, real-world environments. His work is widely recognized for bridging theoretical algorithms with practical deployment, making him a notable figure in the field of robotic automation and a valuable resource for students and researchers interested in the future of intelligent manufacturing.