Xusong Quan
Papers
1
Total Citations
12
H-Index
1
About
Xusong Quan is a researcher focused on advancing robotic assembly, particularly the challenging domain of large length-diameter ratio peg-in-hole insertion. His work addresses a critical bottleneck in modern industrial automation: precisely predicting and controlling contact forces and torques during flexible assembly. By developing sophisticated models that ensure these forces remain within safe limits, Quan directly tackles the risk of part jamming or damage, a significant problem for high-precision manufacturing. His most cited paper, "Contact Force/Torque Prediction and Analysis Model for Large Length-diameter Ratio Peg-in-hole Assembly" (2018), has garnered 12 citations, reflecting its foundational role in this specialized field. This contribution is notable for providing a theoretical and practical framework that enables more reliable and efficient automated assembly of slender components, a task previously reliant on manual intervention. Quan’s work is essential reading for engineers and researchers seeking to push the boundaries of robotic dexterity and precision in complex industrial settings.
Research Focus
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Top Papers
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