Haofeng Chen

University of Science and Technology of China, Chinese Academy of Sciences

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About

Haofeng Chen is pioneering the next generation of tactile sensing for robotics, drawing inspiration from human skin to create intelligent, compliant interfaces. His research centers on soft robotics, bio-inspired sensors, and advanced signal processing, with a specific focus on Electrical Impedance Tomography (EIT). Chen’s major contribution is the development of a novel skin-like hydrogel sensor that uses an EIT-based pseudo-array method, enabling distributed force sensing without the complexity of traditional array designs. This work, published in 2023 and garnering 13 citations, represents a significant leap in creating durable, scalable, and cost-effective tactile skins. Building on this foundation, his 2024 study introduces a dual-modal approach that simultaneously reconstructs force and shape from EIT boundary measurements—a long-standing challenge in the field. By integrating a Multi-Modal Convolutional Neural Network (MM-CNN), Chen’s method overcomes location dependencies and image artifacts, enhancing robotic perception during physical interactions. With his research already cited in emerging works, Chen is establishing himself as a key innovator in soft tactile sensing, promising to equip robots with more nuanced, human-like touch for safer and more intuitive human-robot collaboration.