Apply force/torque sensors to robotic applications

IF 2.9 Q2 ROBOTICS

Robotics Pub Date : 1987-06-01 DOI:10.1016/0167-8493(87)90007-6

Jay Lee

引用次数: 24

Abstract

Over the last ten years the state-of-the-art in robotic force/torque sensors has been developed to a high degree in research laboratories. Unfortunately, such systems have not found much use outside of the laboratory because of high cost and sophisticated system software. This paper will present how the force/torque sensor has been implemented in robotic applications such as grinding/deburring, drilling and assembly for industry and military. Overload sensing and robot programming by use of force/torque sensors are also presented.

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将力/扭矩传感器应用于机器人应用

在过去的十年中，最先进的机器人力/扭矩传感器在研究实验室中得到了高度的发展。不幸的是，由于高成本和复杂的系统软件，这种系统在实验室之外并没有得到太多的应用。本文将介绍力/扭矩传感器如何在机器人应用中实现，如工业和军事的磨削/去毛刺，钻孔和装配。还介绍了利用力/扭矩传感器进行过载传感和机器人编程。

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