Shandong Provincial Key Laboratory of Network Based Intelligent Computing, School of Information Science and Engineering, University of Jinan, Jinan 250022, China.
School of Integrated Circuits, Shandong University, Jinan 250101, China.
Nano Lett. 2024 Apr 3;24(13):4002-4011. doi: 10.1021/acs.nanolett.4c00623. Epub 2024 Mar 25.
Empowering robots with tactile perception and even thinking as well as judgment capabilities similar to those of humans is an inevitable path for the development of future robots. Here, we propose a biomimetic electronic skin (BES) that truly serves and applies to robots to achieve superior dynamic-static perception and material cognition functionalities. First, the microstructured triboelectric and piezoresistive layers are fabricated by a facile template method followed by selected self-polymerization treatment, enabling BES with high sensitivity and a wide detection range. Further, through laminated-independent triboelectric and piezoresistive parts for perceiving dynamic and static pressures simultaneously, the BES is capable of supporting the robot hand to monitor the entire process during object grasping. Most importantly, by further combining a neural network model, an intelligent cognition system is constructed for real-time cognition of the object material species via one touch of the robot hand under arbitrary pressures, which goes beyond the human cognition ability.
赋予机器人类似于人类的触觉感知能力,甚至思维和判断能力,是未来机器人发展的必然道路。在这里,我们提出了一种仿生电子皮肤(BES),它真正为机器人服务并应用于机器人,以实现卓越的动静感知和材料认知功能。首先,通过简单的模板方法制造微结构化的摩擦电和压阻层,然后进行选择的自聚合处理,使 BES 具有高灵敏度和宽检测范围。此外,通过同时感知动态和静态压力的分层独立摩擦电和压阻部分,BES 能够支持机器人手在物体抓取过程中监测整个过程。最重要的是,通过进一步结合神经网络模型,构建了一个智能认知系统,通过机器人手在任意压力下的一次触摸,实现对物体材料种类的实时认知,这超越了人类的认知能力。