文章基本信息

标题：Towards Autonomous Robotic Valve Turning
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作者：A. Carrera ; S. R. Ahmadzadeh ; A. Ajoudani 等
期刊名称：Cybernetics and Information Technologies
印刷版ISSN：1311-9702
电子版ISSN：1314-4081
出版年度：2012
卷号：12
期号：3
出版社：Bulgarian Academy of Science
摘要：In this paper an autonomous intervention robotic task to learn the skill of grasping and turning a valve is described. To resolve this challenge a set of different techniques are proposed, each one realizing a specific task and sending information to the others in a Hardware-In-Loop (HIL) simulation. To improve the estimation of the valve position, an Extended Kalman Filter is designed. Also to learn the trajectory to follow with the robotic arm, Imitation Learning approach is used. In addition, to perform safely the task a fuzzy system is developed which generates appropriate decisions. Although the achievement of this task will be used in an Autonomous Underwater Vehicle, for the first step this idea has been tested in a laboratory environment with an available robot and a sensor.
关键词：Autonomous Underwater Vehicle (AUV); Imitation Learning; Fuzzy;System; Extended Kalman Filter (EKF); Valve Turning.