Shukun Cao

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About

Shukun Cao is a researcher whose work bridges precision sensing and medical robotics, with a focus on enhancing measurement accuracy and minimally invasive interventions. His key research areas include multi-dimensional force/torque sensing, fault-tolerant sensor design, and robotic systems for medical applications. Cao’s most notable contribution is his work on a pre-tightened four-point supported piezoelectric six-dimensional force/torque sensor, which addresses critical fault-tolerant measurement mechanisms—a foundational advancement for high-precision robotic manipulation. This paper has garnered 34 citations, reflecting its impact on sensor reliability in complex environments. He also contributed to the development of a needle insertion concept and robotic system for breast tumor diagnosis and treatment, tackling challenges like tissue deformation and target displacement during minimally invasive procedures such as needle biopsy and radio frequency ablation. Additionally, Cao has explored automated guided vehicle (AGV) systems for flexible production lines, demonstrating versatility across industrial and medical domains. His work is particularly valuable for researchers and engineers developing next-generation robotic systems that demand both precision and robustness in real-world applications.