A robotic interface permitting error recovery

IF 2.9 Q2 ROBOTICS

Robotics Pub Date : 1987-09-01 DOI:10.1016/0167-8493(87)90052-0

A. Foisy, P. Jacques, N.F. Stewart

引用次数: 4

Abstract

Flexible Manufacturing Systems involving a large number of independent control computers require convenient interfaces between the computers, and if the system is to be largely or entirely under computer control, it is necessary to include facilities for automatic error recovery. The main purpose of this paper is to describe the logical organization of a robotic interface, implemented in our laboratory, that supports automatic error recovery in a convenient way. This organization was inspired by, but is different from, the approach to error condition handling implemented in a widely used computer operating system.

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允许错误恢复的机器人界面

涉及大量独立控制计算机的柔性制造系统需要计算机之间方便的接口，如果系统要大部分或全部由计算机控制，则有必要包括自动错误恢复设施。本文的主要目的是描述在我们实验室实现的机器人接口的逻辑组织，该接口以方便的方式支持自动错误恢复。这种组织受到广泛使用的计算机操作系统中实现的错误条件处理方法的启发，但与之不同。

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