Papers
1
Total Citations
24
H-Index
1
About
Nan Mu is a leading researcher in intelligent manufacturing and precision measurement, with a focus on integrating robotics and advanced sensor technologies for industrial automation. Her seminal work, "Calibration of a flexible measurement system based on industrial articulated robot and structured light sensor" (2017, 24 citations), introduced a novel method for calibrating hand-eye transformations in robotic measurement systems. This breakthrough enables online, rapid, and accurate inspection of complex workpieces by combining articulated robots with structured light sensors—a critical advancement for flexible manufacturing lines. Mu’s research addresses key challenges in real-time quality control, reducing measurement errors and enhancing system adaptability. Her contributions have been widely recognized in the fields of robotics, metrology, and automation, with her calibration techniques influencing subsequent studies in sensor integration and robotic precision. Beyond this work, Mu continues to explore innovative approaches to industrial digitization, solidifying her reputation as a pivotal figure in bridging theoretical robotics with practical, high-impact manufacturing solutions.
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Top Papers
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