2017
DOI: 10.1016/j.sna.2017.02.013
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Full closed-loop controls of micro/nano positioning system with nonlinear hysteresis using micro-vision system

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Cited by 44 publications
(12 citation statements)
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“…The pose of the robot end-effector relative to the desired feature point of the target object is obtained according to the image information, and the relative pose is generated by comparing the current pose of the target with the desired pose. The motion command of the robot given by the relative pose is transmitted to the robot motion controller, and then the robot is controlled to move [67].…”
Section: Microscopic Visual Servoing Controlmentioning
confidence: 99%
“…The pose of the robot end-effector relative to the desired feature point of the target object is obtained according to the image information, and the relative pose is generated by comparing the current pose of the target with the desired pose. The motion command of the robot given by the relative pose is transmitted to the robot motion controller, and then the robot is controlled to move [67].…”
Section: Microscopic Visual Servoing Controlmentioning
confidence: 99%
“…Owing to the simple mechanism and principle, many researchers have adopted the lever amplifier to obtain a desired stroke. For instance, Gan et al [57] used a lever amplifier to amplify the stroke of PEA. More researchers, such as Bhagat et al [58], Li et al [59], Dao et al [60], Qu et al [61] and Ren et al [62], used a similar lever amplifier.…”
Section: Lever-type Amplifiermentioning
confidence: 99%
“…Fatikow et al [16] used visual feedback to extend automated closed-loop positioning based on different external sensors, and the integration of mobile micro-robots into a specific system can be done fully automatically. A micro-vision system (MVS) was used to obtain feedback signals online, which illustrates that a full closed-loop tracking control can be developed to enhance the positioning accuracy of micro/nano-positioning systems [17]. The main disadvantage of visual inspection is that the sampling rate is too slow to measure a relatively rapid tracking motion.…”
Section: Introductionmentioning
confidence: 99%