Intelligent autonomous systems

IF 2.9 Q2 ROBOTICS

Robotics Pub Date : 1987-06-01 DOI:10.1016/0167-8493(87)90014-3

引用次数: 0

Abstract

An international conference entitled “Intelligent Autonomous Systems” was held in Amsterdam, The Netherlands from 8–11 December 1986.

Following the “Introductory Address” presented by chairman L.O. Hertzberger (University of Amsterdam, The Netherlands) there were eight invited papers which considered the theoretical and practical aspects of designing and operating autonomous systems. A further sixty-two papers were presented which provided an in-depth analysis of intelligent autonomous systems.

We present below a report on the lectures delivered at the conference.

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智能自主系统

1986年12月8日至11日在荷兰阿姆斯特丹举行了一次题为“智能自治系统”的国际会议。在L.O. Hertzberger主席(荷兰阿姆斯特丹大学)的“介绍性演讲”之后，还有八篇受邀论文，这些论文考虑了设计和操作自主系统的理论和实践方面。此外，还发表了62篇论文，对智能自主系统进行了深入分析。下面我们就会议上的演讲作一报告。

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