**Abstract:** On May 31, Tsinghua University's News Network reported a groundbreaking advancement in the field of electronic skin technology by the research team led by Professor Yi-Hui Zhang from the Department of Aerospace Engineering and the National Laboratory for Flexible Electronics (NLFE). The team has developed a novel 3D electronic skin that mimics the mechanical sensing capabilities of human skin, particularly focusing on the spatial distribution of mechanoreceptors such as Merkel cells and Ruffini endings. This innovative design allows the electronic skin to physically decouple and measure various mechanical signals, including pressure, shear force, and strain, simultaneously and accurately. The electronic skin is structured to resemble the layers of human skin, consisting of an "epidermis," "dermis," and "subcutaneous tissue," with each layer having a modulus similar to its biological counterpart. The sensors and circuits are primarily located in the "dermis" layer. The force sensing units are designed as eight-armed cage structures, with the sensors positioned at the top of these structures, making them highly sensitive to external forces. The strain sensors, on the other hand, are located at the bottom of the device's arch structures, ensuring they are primarily sensitive to in-plane stretching and minimally affected by pressure. The research team integrated this 3D electronic skin with advanced deep machine learning algorithms to create a tactile system capable of measuring the modulus and local principal curvature of objects through simple touch. This system has been demonstrated to be effective in real-world applications, such as assessing the freshness of food and fruits. Furthermore, the study explores the potential of this tactile system in quantitative physical measurements (e.g., friction coefficients) and human-machine interaction. The findings of this research were published in the prestigious journal *Science* on May 30, 2023, under the title "A Three-Dimensionally Architected Electronic Skin Mimicking Human Mechanosensation." Professor Yi-Hui Zhang is the corresponding author, and the paper's co-first authors are Zhì Liu (Ph.D. student, 2018), Xiào-Nán Hu (Ph.D. student, 2021), and Rèn-Héng Bái (associate researcher, NLFE, and former postdoctoral fellow of the Department of Aerospace Engineering). Other contributors to the study include Yòu-Zhōu Yáng (Ph.D. student, 2023), Shì-Wēi Xú (Ph.D. student, 2020), Zhāng-Míng Shěn (Ph.D. student, 2019), Xù Chéng (Ph.D. student, 2017, now a postdoctoral fellow at the National University of Singapore), and postdoctoral fellows Wén-Bó Páng, Qīng Liú, Yuè-Jiǎo Wáng, and Shū-Héng Wáng. The research was supported by the Scientific Exploration Award, the National Natural Science Foundation of China's Original Exploration Program, and the Innovative Research Group Program. The article was provided by the Department of Aerospace Engineering, with the cover image designed by Liáng Chén, and edited and reviewed by Lǐ Huá-Shān and Guō Líng, respectively. **Key Events:** - Development of a 3D electronic skin that mimics human skin's mechanoreceptors. - Integration of the electronic skin with deep machine learning algorithms to create a tactile system. - Demonstration of the system's effectiveness in real-world applications, such as assessing food freshness. - Publication of the research in *Science* on May 30, 2023. **Key People:** - Professor Yi-Hui Zhang (corresponding author) - Zhì Liu, Xiào-Nán Hu, and Rèn-Héng Bái (co-first authors) - Other contributors: Yòu-Zhōu Yáng, Shì-Wēi Xú, Zhāng-Míng Shěn, Xù Chéng, Wén-Bó Páng, Qīng Liú, Yuè-Jiǎo Wáng, and Shū-Héng Wáng - Editors and reviewers: Liáng Chén, Lǐ Huá-Shān, and Guō Líng **Key Locations:** - Tsinghua University, Beijing, China **Time Elements:** - Research conducted and device developed prior to May 31, 2023 - Publication in *Science* on May 30, 2023 This summary encapsulates the core events, key figures, and significant contributions of the research, highlighting its potential impact in the fields of electronic skin technology and human-machine interaction.