ASSESSMENT OF VISUAL SERVOING TECHNIQUES FOR TARGET LOCALIZATION

Khushali Saraiya, Dippal Israni, Parth Goel
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引用次数: 3

Abstract

Robotics is advancing rapidly in the research area of designing, controlling and building new robots for domestic, commercial and military applications. In addition to these, it also becomes easy to control objects in dangerous locations like bomb defusal, mines and exploring shipwrecks. Visual Servoing (VS) is a technique that controls a robot and gives the motion to achieve the field of technologies such as bionomics and security guard. In robotics, the most important part is to place cameras in the workspace such that each and every place is visible during the whole task. In Visual Servoing, the challenge is to achieve kinematics that gives ease to pick and place objects. This paper represents an overall idea, state of the art techniques and architecture for camera control techniques and robot control techniques. This paper also highlights examples related to forward kinematics and inverse kinematic using Matlab.
目标定位的视觉伺服技术评价
机器人技术在设计、控制和制造新型家用、商用和军用机器人的研究领域正在迅速发展。除此之外,它还变得容易控制危险地点的物体,如炸弹拆除,地雷和探索沉船。视觉伺服(Visual Servoing, VS)是一种控制机器人并使其运动的技术,可实现生物学和保安等技术领域。在机器人技术中,最重要的部分是在工作空间中放置摄像头,这样在整个任务过程中每个地方都是可见的。在视觉伺服系统中,挑战在于实现易于拾取和放置物体的运动学。本文介绍了相机控制技术和机器人控制技术的总体思想、技术现状和体系结构。本文还重点介绍了用Matlab进行正运动学和逆运动学的相关实例。
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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