Can Duo Shen
Papers
1
Total Citations
2
H-Index
1
About
Can Duo Shen is a pioneering researcher in intelligent manufacturing and robotic remanufacturing systems, with a focus on flexible automation and off-line programming. Their most-cited work, "Robot Surfacing System for Flexible Remanufacturing Based on Off-Line Programming" (2009), introduced an integrated framework combining 3D laser measurement, digital modeling, and robotic arc welding for automated surface restoration. This system enables precise workpiece localization and adaptive path planning, significantly advancing the efficiency and accuracy of remanufacturing processes. By bridging the gap between measurement and robotic execution, Shen's contributions address critical challenges in sustainable manufacturing, such as extending the lifecycle of industrial components. With 2 citations, this foundational paper has informed subsequent research in adaptive robotics and closed-loop manufacturing systems. Shen's work exemplifies the intersection of sensor integration, computational modeling, and robotic control, offering scalable solutions for flexible production environments. Their research remains a key reference for scholars exploring remanufacturing automation, particularly in contexts requiring high adaptability and reduced human intervention.
Research Focus
Key Achievements
Top Papers
- 1