神经形态和仿生传感器的作用

Rob Bogue
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引用次数: 0

摘要

目的本文旨在提供生物仿生和神经形态传感器研究与开发的详细情况,并讨论它们在机器人学中的应用。设计/方法/途径在简短的介绍之后,本文首先提供了近期生物仿生抓取和传感皮肤研究与开发的实例。然后介绍神经形态视觉传感技术及其在机器人领域的潜在应用。研究结果仿生学旨在利用自然界中的机制、结构和信号处理技术。仿生传感器和控制技术可赋予机器人一系列更强的能力,如学习、抓取和多维触觉感应。与传统的基于框架的成像技术相比,神经形态视觉传感器具有一些关键的操作优势。机器人应用在很大程度上仍处于研究阶段,但预计可用于增强自动驾驶汽车的安全系统和机器人抓取。
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The role of neuromorphic and biomimetic sensors

Purpose

The purpose of this paper is to provide details of biomimetic and neuromorphic sensor research and developments and discuss their applications in robotics.

Design/methodology/approach

Following a short introduction, this first provides examples of recent biomimetic gripping and sensing skin research and developments. It then considers neuromorphic vision sensing technology and its potential robotic applications. Finally, brief conclusions are drawn.

Findings

Biomimetics aims to exploit mechanisms, structures and signal processing techniques which occur in the natural world. Biomimetic sensors and control techniques can impart robots with a range of enhanced capabilities such as learning, gripping and multidimensional tactile sensing. Neuromorphic vision sensors offer several key operation benefits over conventional frame-based imaging techniques. Robotic applications are still largely at the research stage but uses are anticipated in enhanced safety systems in autonomous vehicles and in robotic gripping.

Originality/value

This illustrates how tactile and imaging sensors based on biological principles can contribute to imparting robots with enhanced capabilities.

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