2017
DOI: 10.5545/sv-jme.2017.4529
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Rapid and Automatic Zero-Offset Calibration of a 2-DOF Parallel Robot Based on a New Measuring Mechanism

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Cited by 3 publications
(2 citation statements)
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“…Regarding the problem of uncertainty of kinematic and dynamic robot parameters, control schemes that make use of soft computing methods including neural networks [9] to [11] and fuzzy logic [12] have been developed. In order to improve trajectory tracking, various optimization techniques are used within motion controllers, [13] to [15]. Joint space control methods, which are adequate in situations in which the manipulator tasks can be accurately preplanned and little or no online trajectory adjustments are necessary [16], can be classified into decentralized (when a single manipulator joint is controlled independently of the others) and centralized (when dynamic interaction effects among the joints are considered) techniques [17].…”
Section: Fig 2 Cms Rotational Axes and Framesmentioning
confidence: 99%
“…Regarding the problem of uncertainty of kinematic and dynamic robot parameters, control schemes that make use of soft computing methods including neural networks [9] to [11] and fuzzy logic [12] have been developed. In order to improve trajectory tracking, various optimization techniques are used within motion controllers, [13] to [15]. Joint space control methods, which are adequate in situations in which the manipulator tasks can be accurately preplanned and little or no online trajectory adjustments are necessary [16], can be classified into decentralized (when a single manipulator joint is controlled independently of the others) and centralized (when dynamic interaction effects among the joints are considered) techniques [17].…”
Section: Fig 2 Cms Rotational Axes and Framesmentioning
confidence: 99%
“…Parallel mechanisms (PMs) have been wide industrial applications due to their merits such as high load-toweight ratio [1], compact structure [2], good accuracy [3] and dynamic performance [4]. Performance evaluation helps to measure the practical value of PMs before their application.…”
Section: Introductionmentioning
confidence: 99%