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About

Ye Zong is a robotics researcher whose work sits at the intersection of medical robotics, soft robotics, and intelligent manipulation. His primary research areas include autonomous surgical systems, soft tissue interaction, and dexterous robotic grasping. Zong’s most notable contribution is his pioneering work on autonomous soft tissue cutting, where he developed a robotic system that integrates a scalpel with sucker fixation to overcome the critical challenge of tissue displacement during surgery—a fundamental bottleneck in the field. This work, published in 2018, has garnered 14 citations and laid important groundwork for safer, more precise automated surgical tools. In parallel, Zong has advanced robotic grasping safety through the design of a soft robotic hand pad that actively balances contact forces across all fingers, a crucial innovation for handling delicate or biological objects. His research also extends to medical image analysis, where he applied convolutional neural networks to detect the natural anatomical center of the pylorus, distinguishing healthy from diseased tissue. By combining soft robotics, machine learning, and surgical mechanics, Ye Zong is helping to shape the next generation of intelligent, tissue-aware robotic systems for clinical and industrial applications.