Dongji Piao

Papers

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About

Dongji Piao is a researcher advancing the field of tactile sensing for robotic manipulation. His primary research focuses on vision-based tactile sensors and slippage prediction, aiming to give robotic manipulators the dexterity and reliability of human hands. In his most cited work, "A Tactile Sensor With Slippage Prediction by Unequal-Height Dome Array" (2023), Piao introduced an innovative sensor design featuring an unequal-height dome array (UHDA) that can predict slippage before it occurs—a critical capability for preventing dropped objects during grasping. This contribution addresses a fundamental challenge in robotic manipulation, where traditional sensors often detect slippage only after it has begun. By enabling proactive grip adjustment, Piao's work has the potential to improve the safety and efficiency of automated systems in manufacturing, healthcare, and service robotics. With 4 citations to date, this paper is gaining attention as a novel approach in the tactile sensing community. Piao's research stands at the intersection of materials engineering, sensor design, and machine learning, offering practical solutions for more human-like robotic hands.