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Titlebook: Kinematic and Dynamic Issues in Sensor Based Control; Gaynor E. Taylor Conference proceedings 1990 Springer-Verlag Berlin Heidelberg 1990

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書目名稱Kinematic and Dynamic Issues in Sensor Based Control
編輯Gaynor E. Taylor
視頻videohttp://file.papertrans.cn/544/543020/543020.mp4
叢書名稱NATO ASI Subseries F:
圖書封面Titlebook: Kinematic and Dynamic Issues in Sensor Based Control;  Gaynor E. Taylor Conference proceedings 1990 Springer-Verlag Berlin Heidelberg 1990
描述This volume contains a series of papers originally presented at a NATO Advanced Research Workshop (ARW) entitled Kinematic and Dynamic Issues in Sensor Based Control. The workshop, one of a series concerned with topics in sensory robotics, took place at II Ciocco, Castelvecchio di Pascoli, Italy in October 1987. Attendance was by invitation only and the majority of participants are recognised leaders in their field- some from the robotics community, others with a more general control background. The main topics of interest were grouped into eight sessions represented by the eight main sections of the book: 1: Modelling Techniques: General Kinematic and Dynamic Issues 2: Sensor Signal Processing 3: Force Control 4: Further Control Topics 5: Vision Based Control 6: Further Kinematic and Dynamic Issues 7: Computational Issues 8: Learning from Sensor Input Also included are brief reports of the roundtable discussions which sought to determine important future directions of research in this area. My thanks to all those who made the workshop possible: The NATO Scientific Affairs Division and the panel on Sensory Systems for Robotic Control who provided most of the financial support; the
出版日期Conference proceedings 1990
關(guān)鍵詞Dynamik; Kinematik; Roboter; Robotersteuerung; Sensoren/Sensorische Systeme; control; learning; modeling; ro
版次1
doihttps://doi.org/10.1007/978-3-642-84012-8
isbn_softcover978-3-642-84014-2
isbn_ebook978-3-642-84012-8Series ISSN 0258-1248
issn_series 0258-1248
copyrightSpringer-Verlag Berlin Heidelberg 1990
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Kinematic and Dynamic Issues in Sensor Based Control
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Sensor Data Processing for Flexible Manufacturing Processesntour of the workpiece will be automatically scanned at slow velocity. The scanned data sequence describes very accurately both position and orientation of the path even for complex geometric shapes. In a second step, from the dense sequence of data only the significant points are selected in order
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Hybrid Position Force Control Implementation on a Parallel Manipulatorpper of the manipulator. Finger-shaped grippers are also classed in the category. The dynamic performance of both approaches is analysed and discussed: for the first case, it is shown that an elastic device providing a certain degree of compliance is required in order to reduce the gain of the react
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Force-feedback control of parallel kinematics manipulatorss is that they are very convenient for force control. Indeed if we equip each link with a force sensor we are able to calculate the forces acting on the plate. Thus any task involving contact between the manipulator and its environment and a high positioning accuracy can be performed with parallel m
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發(fā)表于 2025-3-22 16:45:31 | 只看該作者
Extracting Dense Motion Information from an Image Sequence: Optic Flow Estimation and Related Segmen one component of the velocity vector, a global minimization process must be somehow performed, then the problem of the eventual discontinuities of the velocity field to be estimated in the image must be tackled..This discontinuity problem has in particular motivated the way we have investigated the
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0258-1248 he workshop possible: The NATO Scientific Affairs Division and the panel on Sensory Systems for Robotic Control who provided most of the financial support; the 978-3-642-84014-2978-3-642-84012-8Series ISSN 0258-1248
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A Sensory Data-Driven Rule-Based Strategy for Error Recovery in Robotic Assemblyhe. model concerning the generic nature of assembly tasks [1,2,3] and extends it to include the notion of a sensory data space in order to facilitate automatic error detection. It is suggested that the sensory data driven strategy provides significant advantages in a rule-based context in order to achieve the desired levels of flexible automation.
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