现代生产自动化的利用:一些技术、经济和社会影响

IF 2.9 Q2 ROBOTICS

Robotics Pub Date : 1987-03-01 DOI:10.1016/0167-8493(87)90037-4

J. Temmes, J. Ranta

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引用次数: 1

摘要

本文介绍了芬兰生产自动化的最新趋势。它评估了迄今为止所达到的技术阶段，并对未来的前景进行了评估。此外，本文还描述了芬兰产业结构的一些主要特征，以便更好地理解现代自动化系统的扩散。在执行经验方面，特别注意分析生产自动化对中小型工业的影响。讨论了柔性制造系统中面向自动化技术的设计和培训问题，并对设计策略进行了评估。

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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Utilisation of modern production automation: Some technological, economic and social impacts

The paper presents recent trends of production automation in Finland. It evaluates the technological stage reached so far and makes an assessment of future visions. Also some main features of industrial structure in Finland are described to form a better understanding of diffusion of modern automation systems.

In connection with the implementation experience, special attention is paid to the analysis of the impact of production automation on smazll and medium scale industry.

Design and training problems related to the automation-oriented technologies in flexible manufacturing systems are also discussed and a design strategy assessment is made.

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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