ArticleProceedings of the National Academy of Sciences of the United States of America2025
Multisensory electronic skin with decoupled pressure-temperature-sensing capabilities for similar object recognition.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- High-Spatiotemporal and Multimodal Soft Tactile Interface with Layered Architecture for Simultaneous Structural and Thermal Perception.Nano-micro letters · 2026Article
- Spatiotemporal Thermal Modulation and Patterning using a Programmable 1024 Element Microheater Array.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Materials-Structure-Hardware-Algorithm Co-Driven Hierarchical Optimization for Flexible Sensors.Nano-micro letters · 2026Review
- Bioinspired Rheological Sensing for Robotic Liquid Identification in Sealed Containers via Ultrafast Incipient Slip Detection.Advanced materials (Deerfield Beach, Fla.) · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Multisensory electronic skin (e-skin), which mimics the tactile capabilities of human skin, is pivotal in equipping robots with intelligent perceptual functions. Despite numerous advances in multifunctional perceptions, e-skin with combined mechano- and thermosensation capabilities for accurately recognizing objects with similar characteristics is still challenging. Here, we report a multisensory e-skin with a skin-like multilayer construction for smart perceptions, which features the patterned protrusion texture mimicking the skin texture to enhance the pressure-sensing sensitivity, the temperature-sensing component mimicking the thermoreceptors, the pressure-sensing component mimicking the mechanoreceptors, and the heater mimicking the body heat source. This multisensory e-skin exhibits excellent decoupled sensing performances of pressure and temperature, enabling the development of a haptic perception system for evaluating some discernible characteristics (e.g., shape and size) and experience-driven features (e.g., modulus and thermal conductivity) of objects through a simple grasp. Demonstrations of accurate recognition and automatic classification of various objects even with extremely similar surface features highlight the significant potential of this multisensory e-skin in applications such as intelligent soft robotics, prosthetics, and other related fields.
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Registered trials
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