0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessAbstract Touch sensing is among the most important sensing capabilities of a human, and the same is true for smart robotics. Current research on tactile sensors is mainly concentrated on electronic skin (e‐skin), but e‐skin is prone to be easily dirtied, damaged, and disturbed after repeated usage, which greatly limits its practical applications in robotics. Here, by mimicking the way that animals explore the environment using hair‐based sensors, a bendable biomimetic whisker mechanoreceptor (BWMR) is designed for robotic tactile sensing. Owing to the advantages of triboelectric nanogenerator technology, the BWMR can convert external mechanical stimuli into electrical signals without a power supply, which is conducive to its widespread applications in robots. Because of the leverage effect of the whisker, the BWMR can distinguish an exciting force of 1.129 μN by amplifying external weak signals, which can be further improved by increasing the whisker length. Real‐time sensing is demonstrated using a BWMR, exhibiting its potential for robotic tactile systems.
Jie An, Pengfei Chen, Ziming Wang, Andy Berbille, Hao Pang, Yang Jiang, Tao Jiang, Zhong Lin Wang (2021). Biomimetic Hairy Whiskers for Robotic Skin Tactility. , 33(24), DOI: https://doi.org/10.1002/adma.202101891.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2021
Authors
8
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1002/adma.202101891
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access