Present state and trends in robot technology

IF 2.9 Q2 ROBOTICS

Robotics Pub Date : 1987-03-01 DOI:10.1016/0167-8493(87)90036-2

K. Sugimoto

引用次数: 2

Abstract

Sensory feedback control is utilized in order to make a robot intelligent. This paper describes the present status of intelligent robots by introducing robot systems with force and visual sensors developed in Hitachi, Ltd. The force feedback control named “virtual compliance mechanism” can generate the same functions as any other compliance mechanism such as rcc for inserting operation by setting suitable values to the parameters of the software in the control unit. 3-D visual feedback control method is also described in which the slit light method is used to recognize 3-dimensional position and orientation of the object.

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机器人技术的现状与趋势

利用感官反馈控制使机器人智能化。本文通过介绍日立公司开发的具有力传感器和视觉传感器的机器人系统，阐述了智能机器人的发展现状。“虚拟顺应机制”力反馈控制通过对控制单元中的软件参数设置合适的值，可以产生与rcc等其他顺应机制相同的插入操作功能。本文还介绍了一种三维视觉反馈控制方法，该方法利用狭缝光方法来识别物体的三维位置和方向。

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