Abstract
Humans can perceive our complex world through multi-sensory fusion. Under limited visual conditions, people can sense a variety of tactile signals to identify objects accurately and rapidly. However, replicating this unique capability in robots remains a significant challenge. Here, we present a new form of ultralight multifunctional tactile nano-layered carbon aerogel sensor that provides pressure, temperature, material recognition and 3D location capabilities, which is combined with multimodal supervised learning algorithms for object recognition. The sensor exhibits human-like pressure (0.04–100 kPa) and temperature (21.5–66.2 °C) detection, millisecond response times (11 ms), a pressure sensitivity of 92.22 kPa−1 and triboelectric durability of over 6000 cycles. The devised algorithm has universality and can accommodate a range of application scenarios. The tactile system can identify common foods in a kitchen scene with 94.63% accuracy and explore the topographic and geomorphic features of a Mars scene with 100% accuracy. This sensing approach empowers robots with versatile tactile perception to advance future society toward heightened sensing, recognition and intelligence. [Figure not available: see fulltext.]
Original language | English |
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Article number | 11 |
Number of pages | 15 |
Journal | Nano-Micro Letters |
Volume | 16 |
Issue number | 1 |
Early online date | 9 Nov 2023 |
DOIs | |
Publication status | E-pub ahead of print - 9 Nov 2023 |
Keywords
- Intelligent object recognition
- Multifunctional sensor
- Multimodal machine learning algorithms
- Tactile perception
- Universal tactile system
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Surfaces, Coatings and Films
- Electrical and Electronic Engineering