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FINDING A SEQUENCE OF SENSOR OPERATIONS FOR VOLUMETRIC INSPECTION

FINDING A SEQUENCE OF SENSOR OPERATIONS FOR VOLUMETRIC INSPE...

引用

1992 IEEE International Conference on systems, Man, and Cybernetics

作者： TARBOX, GH GOTTSCHLICH, SN GERHARDT, LA New York State Center for Advanced Technology in Robotics and Automation Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Troy 12180-3590 NY United States

ISBN: (纸本)0780307208

A system for exhaustively inspecting a workpiece, not merely certain features, is presented. The system is based on comparing a volumetric representation of a reference object to a volumetric representation of an actual object iteratively created from sensor data. The use of volumetric representations gives this approach a number of distinct advantages over the more traditional boundary-based inspection methods: the method is capable of handling arbitrarily complex geometries and does not rely on the identification of features, it lends itself naturally to a multi-sensor environment, and it facilitates true 3D inspection as opposed to methods that require dimensional reductions of data by projection onto a 2D plane. This paper focuses on an important aspect of volumetric inspection - the automatic generation of a sequence of sensor operations that will acquire the complete geometry of the object being inspected. © 1992 IEEE.

关键词： Inspection

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FUZZY PROXIMITY-MEASURES FOR ROBOT GRASP PLANNING

FUZZY PROXIMITY-MEASURES FOR ROBOT GRASP PLANNING

引用

1992 IEEE INTERNATIONAL SYMP ON INTELLIGENT CONTROL

作者： SRIDHARAN, K STEPHANOU, HE New York State Center for Advanced Technology in Automation and Robotics Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy 12180-3590 NY United States

Faat procedures for computing fuzzy prozimity meaaurea between a multifingered robot hand and an object to be grasped are presented in this paper. The computation useful in graap planning and in analyzing the local be... 详细信息

ISBN: (纸本)0780305469

关键词： Robot programming

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The window corner algorithm for planning translational paths among polyhedral subassemblies

The window corner algorithm for planning translational paths...

引用

1992 IEEE/RSJ International Conference on Intelligent Robots and systems, IROS 1992

作者： Krishnan, S.S. Sanderson, A.C. New York State Center for Advanced Technology in Automation and Robotics and Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute TroyNY12180 United States

ISBN: (纸本)0780307372

In this paper, we present a complete and exact algorithm for planning a geometrically feasible path for a polyhedral subassembly (robot) translating amongst polyhedral obstacles. Our algorithm can be used to determine whether a pair of non-convex subassemblies can be separated by a sequence of fine-motions and, possibly, contact-motions, when the amount of free space tends to be severly limited. We present the three-dimensional Window Corner algorithm to plan feasible paths. The algorithm solves the FeosiblePath problem, in worst-case time O(m5) where m is the product of the number of vertices describing the robot and obstacles respectively. A Feasiblepath solution hierarchy, for assembly sequence planning, is described for incremental, straight-line and multi-step paths. The Polyhedral Cone Representation (PCR) is introduced to efficiently represent the geometrical constraints on translation and as a basis for fast collision avoidance checks. We introduce the concept of Window Corners in the PCR and this results in a finite search space. The Polyhedral Cone Obstacle Representation (PCUR), which is a constructive representation of all boundary contact configurations, transforms the problem into that of a point moving amongst a collection, O(m), of convex obstacles. In comparison, the worstcase space complexity of the C-space boundary is O(m3). Certain contact-constrained, feasible motions, which lie on surfaces without interior points can be inaccessible in a typ i d C-space representation. © 1992 institute of electrical and Electronics Engineers Inc. All rights reserved.

关键词： Robot programming

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An Information Theoretic Approach to Approximate Reasoning

An Information Theoretic Approach to Approximate Reasoning

引用

1992 IEEE/RSJ International Conference on Intelligent Robots and systems, IROS 1992

作者： Gottschlich, S.N. Stephanou, H.E. New York State Center for Advanced Technology in Automation and Robotics Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute TroyNY12180-3590 United States

ISBN: (纸本)0780307372

In traditional geometric modeling, it is common to assume that models of objects created are complete and correct. Unfortunately in real life robots and other autonomous machines may have only uncertain knowledge of only a portion of an object's geometry and therefore we need to be able to create object models that are incomplete and uncertain. Towards this end we have developed mechanisms for representing geometric entities in terms of Dempster-Shafer belief functions. To do this we have extended the notion of belief functions to include continuous frames of discernment. A fractal model of the belief functions is developed and information theory concepts are applied for reasoning about a sensor data model vis-a-vis reference object models. An implementation of these concepts and experiments involving them are discussed. © 1992 IEEE.

关键词： Uncertainty analysis

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Volumetric Based Inspection

Volumetric Based Inspection

引用

1992 IEEE/RSJ International Conference on Intelligent Robots and systems, IROS 1992

作者： Tarbox, G.H. Gottschlich, S.N. Gerhardt, L.A. New York State Center for Advanced Technology in Robotics and Automation Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute TroyNY12180-3590 United States

ISBN: (纸本)0780307372

A novel approach to inspection is presented based on comparing a volumetric representation of a reference object to a volumetric representation of an actual object iteratively created from sensor data. The use of volumetric representations gives this approach a number of distinct advantages over the more traditional surface-based inspection methods. One significant advantage of volumetric inspection is that there is no need to identify geometric "features", particularly important when inspecting objects such as castings and forgings whose features are often difficult to identify. Secondly, the volumetric representation lends itself naturally to a multi-sensor environment. By this we mean that a volumetric model of the sensed object can be synthesized utilizing information from multiple sensors of varying types, accuracy, location, etc. This allows a choice of the most appropriate sensor for acquiring information about the different regions of the object. Finally, the volumetric representation allows us to carry out true three-dimensional inspection as opposed to the typical approach where renderings of the reference model are compared to two-dimensional images of the actual object. © 1992 IEEE.

关键词： Inspection

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Handwritten numeral recognition based on hierarchically self-organizing learning networks with spatio-temporal pattern representation

Handwritten numeral recognition based on hierarchically self...

引用

Conference on computer Vision and Pattern Recognition (CVPR)

作者： S. Lee J.C. Pan Department of Electrical Engineering-Systems and Computer Science Institute for Robotics and Intelligence Systems University of Southern California USA

An approach for tracing, representation, and recognition of a handwritten numeral in an offline environment is presented. A 2D spatial representation of a numeral is first transformed into a 3D spatiotemporal representation by identifying the tracing sequence based on a set of heuristic rules acting as transformation operators. Given the dynamic information of the tracing sequence, a multiresolution critical-point segmentation method is proposed to extract local feature points, at varying degrees of scale and coarseness. A neural network architecture, the hierarchically self-organizing learning (HSOL) network (S. Lee, J.C. Pan, 1989), especially for handwritten numeral recognition, is presented. Experimental results based on a bidirectional HSOL network indicated that the method is robust in terms of variations, deformations, and corruption, achieving about 99% recognition rate for the test patterns.< >

关键词： Handwriting recognition Pattern recognition Feature extraction Character recognition Intelligent robots Neural networks Humans Heuristic algorithms Skeleton Lifting equipment

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The window corner algorithm for robot path planning with translations

The window corner algorithm for robot path planning with tra...

引用

IEEE International Conference on robotics and Automation (ICRA)

作者： S.S. Krishnan A.C. Sanderson Electrical Computer and Systems Engineering Department Center for Advanced Technology in Automation and Robotics Rensselaer Polytechnic Institute Troy NY USA

The feasible path problem is solved for planning a collision-free path to translate an arbitrary polyhedral robot from an initial position to some goal position in a polyhedral environment. The shortest path problem entails finding the shortest feasible path. The authors present two versions of the window corner (WC) algorithm, which is a novel solution to the problems for the case of single and multistep translational paths for two dimensions, and then summarize the extension to the three-dimensional WC algorithm, for feasible paths. The concept of window corners in the polyhedral cone representation (PCR) is introduced, which reduces the search space. The PCR cones store constraints between boundary elements. The PCO representation has O(m) vertices compared to O(m/sup 2/) in a C-space representation. The WC algorithm was tested and an example from assembly path planning is presented.< >

关键词： Path planning robotics and automation Optical wavelength conversion Euclidean distance Mobile robots Orbital robotics systems engineering and theory Technology planning Tail Testing

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Fuzzy proximity measures for robot grasp planning

Fuzzy proximity measures for robot grasp planning

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IEEE International Symposium on Intelligent Control (ISIC)

作者： K. Sridharan H.E. Stephanou New York State Center for Advanced Technology in Automation and Robotics and Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY USA

Fast procedures for computing fuzzy proximity measures between a multifingered robot hand and an object to be grasped are presented. T.N. Nguyen and H.E. Stephanou (1990) presented a fuzzy approach for prehension, identified sources of fuzziness, and proposed a fuzzy algorithm for multifingered prehension. These ideas are extended by assuming fuzziness in the object location and geometric hand configuration, computing information on proximity of the hand and object, analyzing the computational efficiencies, and indicating how geometric information can be used in the process of prehension. The implementation details are outlined. The computation is useful in grasp planning and in analyzing the local behavior of the robot hand in the vicinity of the object.< >

关键词： Robots robotics and automation Solid modeling Paper technology systems engineering and theory Fuzzy systems Electric variables measurement Fingers Kinematics End effectors

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The Window Corner Algorithm For Planning Translational Paths Among Polyhedral Subassemblies

The Window Corner Algorithm For Planning Translational Paths...

引用

IEEE International Workshop on Intelligent Robots and systems (IROS)

作者： S.S. Krishnan A.C. Sanderson New York State Center for Advanced Technology in Automation and Robotics and Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Troy NY USA

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Finding a sequence of sensor operations for volumetric inspection

Finding a sequence of sensor operations for volumetric inspe...

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IEEE International Conference on systems, Man and Cybernetics

作者： G.H. Tarbox S.N. Gottschlich L.A. Gerhardt New York State Center for Advanced Technology in Robotics and Automation Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Troy NY USA

A system for exhaustively inspecting a workpiece, not merely certain features, is presented. The system is based on comparing a volumetric representation of a reference object to a volumetric representation of an actual object iteratively created from sensor data. The use of volumetric representations gives this approach a number of distinct advantages over the more traditional boundary-based inspection methods. The method is capable of handling arbitrarily complex geometries and does not rely on the identification of features. It lends itself naturally to a multisensor environment, and facilitates true 3-D inspection as opposed to methods that require dimensional reductions of data by projection onto a 2-D plane. The authors focus on an important aspect of volumetric inspection which is the automatic generation of a sequence of sensor operations that will acquire the complete geometry of the object being inspected.< >

关键词： Inspection Geometry robotics and automation Casting Space technology Sensor systems Solid modeling systems engineering and theory Sensor phenomena and characterization Production

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