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  • 标题:Slip signal analysis on a Baxter robot
  • 本地全文:下载
  • 作者:Shane Trimble ; Wasif Naeem ; Seán McLoone
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:11
  • 页码:19-24
  • DOI:10.1016/j.ifacol.2019.09.112
  • 语种:English
  • 出版社:Elsevier
  • 摘要:The Baxter robot by ReThink Robotics is a dual arm collaborative platform, which can perform multiple tasks and is designed for use in an unstructured environment. Such robotic manipulators working in tandem have certain advantages over single arms when manipulating heavy or large, awkwardly shaped objects. With the attachment of two custom 3D-printed end-effectors, the robot gains the ability to push and hold objects of this kind.This paper deals with the preliminary steps in creating a reliable controller feedback signal using the robot’s on-board torque and positioning sensors. Determining the best joint signal and designing a suitable filter are two challenges that are addressed.The paper concludes that the torque values from the centre wrist joint undergo the largest increase in value caused by vibrations during slip. A filtering array technique is also proposed, successfully removing unwanted noise from the torque signal, allowing slip events to be effectively isolated.
  • 关键词:KeywordsSlip detectionroboticssignal processingintelligent manufacturing
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