A computational framework for an accurate, robust, and efficient stereo approach is developed. Most of the deficiencies prevailing in current computational models of stereo can be attributed to their use of a single, ...
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A computational framework for an accurate, robust, and efficient stereo approach is developed. Most of the deficiencies prevailing in current computational models of stereo can be attributed to their use of a single, typically edge-element-based, primitive for stereo analysis and to their use of a single-level control strategy. The multi-primitive hierarchical (MPH) framework for stereo analysis presented is directed toward overcoming these deficiencies. In the MPH model, stereo analysis is performed in multiple stages, incorporating multiple primitives and utilizing a hierarchical control strategy. The higher levels of the hierarchical system are based on primitives containing more semantic information, and the results of stereo analysis at higher levels are used for guidance at the lower levels. It is shown that such a stereo system is superior to a single-level, single-primitive system.< >
In this paper we develop a framework for integrating real-Time software modules that comprise a reconfigurable multi-sensor based system. Our framework is based on the proposed concept of a global database of state in...
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The programmability (as a stored program) of the CNN Universal Machine is discussed first. It is shown why and in which sense this machine is universal. A new type of algorithm, the analogic one, is introduced. The ap...
Various types of CNNs are summarized and the taxonomy of CNN is given according to the different types of grids, processors, interactions, and modes of operation. Next, the CNN Universal Machine is introduced. The arc...
作者：
S.S. KrishnanA.C. SandersonElectrical
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 e...
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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.< >
The effectiveness of the ellipsoid representation for geometrical reasoning is demonstrated in the context of robotics. Specifically, a robot collision-detection problem that consists of computing a quantity that refl...
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The effectiveness of the ellipsoid representation for geometrical reasoning is demonstrated in the context of robotics. Specifically, a robot collision-detection problem that consists of computing a quantity that reflects, as a function of the geometrical data, the amount of clearance between the robot and its environment is discussed. The method consists of two algorithms. The first computes the optimal ellipsoid surrounding a convex polyhedron. The second computes an analytic formula for the free margin about one ellipsoid with respect to another, as a standard eigenvalue problem. An efficient incremental version of the latter algorithm is proposed. This system has been implemented, and preliminary simulation results are provided.< >
This paper presents an approach for designing robust tracking controller for lumped mass model of a vibrating link (VL) robot manipulator. The control methodology is intuitively simple since it is based on concepts wh...
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This paper presents an approach for designing robust tracking controller for lumped mass model of a vibrating link (VL) robot manipulator. The control methodology is intuitively simple since it is based on concepts which are familiar to most control engineers. The approach is illustrated by developing a robust tracking controller that achieves global uniform ultimate boundedness (GUUB) stability of the link tracking error in spite of model uncertainty and the additional link dynamics.
The paper proposes a two-stage design approach to optimal H 2/ and H ∞ decentralized control problems. In the first stage, an optimal centralized controller is computed. Then based on the parametrization results fo...
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The paper proposes a two-stage design approach to optimal H 2/ and H ∞ decentralized control problems. In the first stage, an optimal centralized controller is computed. Then based on the parametrization results for centralized controllers, in the second stage, the parameter that decentralizes the controller is optimized. The design approach is applied to an observer-based decentralized controller. Optimality conditions are derived.
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