Multisensory electronic skin with decoupled pressure–temperature-sensing capabilities for similar object recognition
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.
Authors
- Jizhou Song (ORCID: https://orcid.org/0000-0003-2821-9429)
- Xiaodong Chen
- Hongyu Luo (ORCID: https://orcid.org/0000-0003-0977-0880)
- Suhao Wang (ORCID: https://orcid.org/0000-0003-3514-5202)
- Jiangtao Su (ORCID: https://orcid.org/0009-0005-0864-6791)
- Jin Ji (ORCID: https://orcid.org/0009-0007-1343-7884)
Institutions
- Zhejiang Sci-Tech University (CN)
- Max Planck Society (DE)
- Zhejiang Lab (CN)
- First Affiliated Hospital Zhejiang University (CN)
Publication Details
- Journal
- Proceedings of the National Academy of Sciences
- Published
- 2025-10-08
- DOI
- https://doi.org/10.1073/pnas.2519693122
- Citations
- 9
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 6.07