用于自动化制造单元的软件工具

IF 2.9 Q2 ROBOTICS

Robotics Pub Date : 1987-09-01 DOI:10.1016/0167-8493(87)90049-0

M. Duncan, D. Williams

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引用次数: 3

摘要

机器人正逐渐被视为可以使用的工具，而不是需要掌握的技术。它们越来越多地被作为一个系统的组成部分购买。机器人和柔性制造系统的例子说明了规划、实施和操作实际系统的局限性。软件技术，以协助工程师在这些任务进行审查，即事件建模，几何建模，编程和规划。单元越来越被认为是灵活自动化的主要组成部分。由于要求系统具有更大的功能能力，因此强调需要实用的规划工具——这些工具本身依赖于充分的“世界模型”的可用性。

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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Software tools for automated manufacturing cells

Robots are coming to be regarded as tools to be used rather than as a technology to be mastered. Increasingly they are being bought as a component part in a system. Examples of robotic and flexible manufacturing systems illustrate limitations to planning, implementing and operating practical systems. Software techniques to assist engineers in these tasks are reviewed, namely for event modelling, geometric modelling, programming and planning. Cells are increasingly regarded as the primary building block in flexible automation. As greater functional capability is demanded of systems, the need for practical planning tools — which themselves rely on the availability of adequate ‘world models’ — is highlighted.

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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