Journal
ACS NANO
Volume 14, Issue 2, Pages 1390-1398Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acsnano.9b07165
Keywords
intelligent tactile sensor; neuroplasticity; learning memory; triboelectric nanogenerator; graphene
Categories
Funding
- National Research Foundation of Korea (NRF) - Ministry of Education, Science and Technology [2019R1A2B5B03069968]
- NRF - Korea government (MSIT) [2018R1A5A7025522]
Ask authors/readers for more resources
Fabrication of human-like intelligent tactile sensors is an intriguing challenge for developing human-machine interfaces. As inspired by somatosensory signal generation and neuroplasticity-based signal processing, intelligent neuromorphic tactile sensors with learning and memory based on the principle of a triboelectric nanogenerator are demonstrated. The tactile sensors can actively produce signals with various amplitudes on the basis of the history of pressure stimulations because of their capacity to mimic neuromorphic functions of synaptic potentiation and memory. The time over which these tactile sensors can retain the memorized information is alterable, enabling cascaded devices to have a multilevel forgetting process and to memorize a rich amount of information. Furthermore, smart fingers by using the tactile sensors are constructed to record a rich amount of information related to the fingers' current actions and previous actions. This intelligent active tactile sensor can be used as a functional element for artificial intelligence.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available