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Titlebook: Sensor-Based Robots: Algorithms and Architectures; C. S. George Lee Conference proceedings 1991 Springer-Verlag Berlin Heidelberg 1991 Rob

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书目名称Sensor-Based Robots: Algorithms and Architectures
编辑C. S. George Lee
视频video
丛书名称NATO ASI Subseries F:
图书封面Titlebook: Sensor-Based Robots: Algorithms and Architectures;  C. S. George Lee Conference proceedings 1991 Springer-Verlag Berlin Heidelberg 1991 Rob
描述Most industrial robots today have little or no sensory capability. Feedback is limited to information about joint positions, combined with a few interlock and timing signals. These robots can function only in an environment where the objects to be manipulated are precisely located in the proper position for the robot to grasp (i. e. , in a structured environment). For many present industrial applications, this level of performance has been adequate. With the increasing demand for high performance sensor-based robot manipulators in assembly tasks, meeting this demand and challenge can only be achieved through the consideration of: 1) efficient acquisition and processing of intemaVextemal sensory information, 2) utilization and integration of sensory information from various sensors (tactile, force, and vision) to acquire knowledge in a changing environment, 3) exploitation of inherent robotic parallel algorithms and efficient VLSI architectures for robotic computations, and finally 4) system integration into a working and functioning robotic system. This is the intent of the Workshop on Sensor-Based Robots: Algorithms and Architectures - to study the fundamental research issues and
出版日期Conference proceedings 1991
关键词Robot control; Robot manipulation; Robotersteuerung; Robotics; Robotik; Sensorsysteme; algorithms; control;
版次1
doihttps://doi.org/10.1007/978-3-642-75530-9
isbn_softcover978-3-642-75532-3
isbn_ebook978-3-642-75530-9Series ISSN 0258-1248
issn_series 0258-1248
copyrightSpringer-Verlag Berlin Heidelberg 1991
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https://doi.org/10.1007/978-3-642-75530-9Robot control; Robot manipulation; Robotersteuerung; Robotics; Robotik; Sensorsysteme; algorithms; control;
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Robotic Vision Knowledge SystemThis article presents a robotic vision knowledge system based on some current sensor and machine intelligence methodologies, quite a large portion of which has recently been developed by the PAMI Group at the University of Waterloo.
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A Unified Modeling of Neural Networks Architectures function, weight measure function, weight updating formula, back-propagation, and iteration index (for retrieving phase) and recursion index (for learning phase). Based on the formulation, new models may be derived and one such example is discussed in the paper. The formulation also leads to a basi
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Self-Organizing Neuromorphic Architecture for Manipulator Inverse Kinematicsnematic criteria, e.g. torque optimization, manipulability etc. and is scalable to configurations of practical interest. Simulations on 3-DOF and 7-DOF redundant manipulators, are used to validate our theoretical framework and illustrate its computational efficacy.
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