Trends in the development of sensor systems and their use in some technological areas

IF 2.9 Q2 ROBOTICS

Robotics Pub Date : 1987-06-01 DOI:10.1016/0167-8493(87)90003-9

I. Plander

引用次数: 2

Abstract

The paper describes the trends in the development of sensor systems in the area of robotics. Presented are contact sensors with special emphasis on “skin” sensors for a robot's hand on the basis of piezo-electric materials, such as polyvinylidene fluoride (PVF₂). Among the methods of non-contact sensor perception, vision systems are considered to be most appropriate for robots. Described are industrial vision systems, image processing operations and image recognition. Reference is also made to proximity sensors. The paper further describes robot control systems utilizing sensory information and utilization of artificial intelligence theory in robotics.

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传感器系统的发展趋势及其在某些技术领域的应用

本文介绍了机器人领域中传感器系统的发展趋势。介绍了接触传感器，特别强调了基于压电材料的机器人手部“皮肤”传感器，如聚偏二氟乙烯(PVF2)。在非接触式传感器感知方法中，视觉系统被认为是最适合机器人的。描述了工业视觉系统，图像处理操作和图像识别。还参考了接近传感器。本文进一步介绍了利用感官信息的机器人控制系统以及人工智能理论在机器人技术中的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Robotics Mathematics-Control and Optimization

CiteScore

6.70

自引率

8.10%

发文量

114

审稿时长

11 weeks

期刊介绍： Robotics publishes original papers, technical reports, case studies, review papers and tutorials in all the aspects of robotics. Special Issues devoted to important topics in advanced robotics will be published from time to time. It particularly welcomes those emerging methodologies and techniques which bridge theoretical studies and applications and have significant potential for real-world applications. It provides a forum for information exchange between professionals, academicians and engineers who are working in the area of robotics, helping them to disseminate research findings and to learn from each other’s work. Suitable topics include, but are not limited to: -intelligent robotics, mechatronics, and biomimetics -novel and biologically-inspired robotics -modelling, identification and control of robotic systems -biomedical, rehabilitation and surgical robotics -exoskeletons, prosthetics and artificial organs -AI, neural networks and fuzzy logic in robotics -multimodality human-machine interaction -wireless sensor networks for robot navigation -multi-sensor data fusion and SLAM