Toward more naturalistic tactile sensors
成果类型：
Editorial Material
署名作者：
Micera, Silvestro
署名单位：
Scuola Superiore Sant'Anna; Scuola Superiore Sant'Anna; Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne
刊物名称：
SCIENCE
ISSN/ISSBN：
0036-12458
DOI：
10.1126/science.adp2623
发表日期：
2024-05-10
页码：
624-625
关键词：
摘要：
The human hand is a remarkable organ used every day to interact with the world. To achieve this, the hand is equipped with several sophisticated natural sensors that perceive touch, position, and temperature. Artificial systems that mimic the natural sense of touch have been developed to build more effective neuro-robotic systems, such as electronic skins (e-skins) ( 1 ). However, current approaches are still limited in their ability to fully mimic the natural tactile processing systems and to recognize different objects. On page 660 of this issue, Chen et al. ( 2 ) present an artificial tactile system that mimics the natural touch receptors and peripheral nerve-processing pathways and uses the timing of action potentials in neurons (spike timing) to enable rapid object recognition. Such highly dynamic neuromorphic tactile systems represent an important building block of future robotic and prosthetic systems.