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About

Chuan-Jing Shen is an emerging researcher specializing in robotic machining, with a particular focus on the complex dynamics and precision challenges inherent in robotic milling systems. Their work addresses some of the most pressing limitations in industrial robotics, including chatter instability, structural nonlinearity, and geometric accuracy during free-form surface machining. Shen's most impactful contribution to date, "Profile error-oriented optimization of the feed direction and posture of the end-effector in robotic free-form milling" (2023), has garnered 32 citations, demonstrating strong early recognition within the manufacturing and robotics communities. This work advances the field by developing optimization strategies that directly target surface profile accuracy — a critical concern in high-precision manufacturing applications. Building on this foundation, Shen has made significant strides in chatter stability analysis, investigating the role of low-frequency vibrations across multiple directions and pioneering methods that incorporate nonlinear robotic dynamics into predictive stability lobe diagrams. The introduction of frequency-domain decomposition (FDD)-based techniques represents a particularly innovative methodological contribution, offering more realistic and comprehensive models for industrial robot behavior during machining operations. Although early in their career, Shen's growing citation record and technically sophisticated research agenda position them as a promising voice in next-generation robotic manufacturing science.