In this work, a 'qualitative reasoning' (common-sense reasoning) approach to the synthesis of dexterous manipulative synergies for articulated robot hands is provided. An intelligent planner has been developed...
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In this work, a 'qualitative reasoning' (common-sense reasoning) approach to the synthesis of dexterous manipulative synergies for articulated robot hands is provided. An intelligent planner has been developed in order to perform this synthesis. The synthesis is performed in the following step-wise manner viz., (i) determination of a desired displacement of an object, given an initial and final configuration and (ii) determination of the corresponding displacements of the fingers, that induces the desired object displacements. The determination of a desired object displacement, is the main subject of this paper. A 'qualitative' formulation of object motion, and an algorithm to determine the sequence of motions necessary to change an arbitrary initial configuration of the object, to a desired final configuration, are provided. The details regarding the implementation of this algorithm and the future implications of this work are highlighted.< >
This paper discusses the parallel implementation of a hypercube-based circuit partitioning scheme. The circuit partitioner is based on a simulated annealing algorithm and is designed to provide near optimal circuit pa...
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This paper discusses the parallel implementation of a hypercube-based circuit partitioning scheme. The circuit partitioner is based on a simulated annealing algorithm and is designed to provide near optimal circuit partitions for simulating the circuits on a hypercube architecture. The circuit partitioning scheme optimizes multiple criteria such as tight coupling of nodes within a subcircuit, load balancing among processors and communication overheads. Design of a partitioner that obtains near optimal solutions satisfying such multiple criteria is difficult using any simple heuristic techniques other than simulated annealing.
The importance of circuit simulation in the design of VLSI circuits has channelised research work in the direction of finding methods to speedup this highly compute-intensive problem. On one hand, attempts have been m...
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The importance of circuit simulation in the design of VLSI circuits has channelised research work in the direction of finding methods to speedup this highly compute-intensive problem. On one hand, attempts have been made to find better algorithms and use faster hardware; and on the other hand, to use parallel architectures for accelerating the circuit simulation task. In this paper, we examine the various issues involved in parallelizing two well-known circuit simulation approaches – direct methods and relaxation methods. A number of parallel computer architectures which have been used for this purpose are also surveyed.
This paper addresses some basic concepts involved in a knowledge-based adaptive control system and dynamic adaptive scheduling methodology for FMSs, Recent advances in flexible automation resulted in a complex multipr...
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This paper addresses some basic concepts involved in a knowledge-based adaptive control system and dynamic adaptive scheduling methodology for FMSs, Recent advances in flexible automation resulted in a complex multiprocessing environment. To cope with dynamically changing external demands, internal production goals and unanticipated events arising at the factory floor, the proposed intelligent control system is provided with features contributing to the CIM trend, system adaptivity and a new modelreformulating approach to scheduling, in a real-time decision making environment.
Circuit simulation is a highly compute-intensive task as it involves solving thousands of ordinary differential equations (ODEs) describing the VLSI circuit under consideration. This paper describes an effort towards ...
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Circuit simulation is a highly compute-intensive task as it involves solving thousands of ordinary differential equations (ODEs) describing the VLSI circuit under consideration. This paper describes an effort towards speeding up this task using a hypercube-based architecture. The paper focusses on the design and development of HIRECS (Hypercube Implementation of RElaxation-Based Circuit Simulation). HIRECS is based on the relaxation approach of solving the ODEs describing the circuit. The natural decomposition of the problem makes the relaxation algorithms amenable to parallel implementation. HIRECS employs the Waveform Relaxation (WR) algorithm. The special feature of WR algorithm is that the latency of the circuit can be exploited better, effecting a saving in the total computation time. The concept of ’windowing’ has been incorporated in HIRECS to effect a saving in the memory requirement. Another important feature of HIRECS is a novel synchronization scheme called partial synchronization. HIRECS runs on a DEC-1090 system and is developed using SIMULA. Performance studies of HIRECS based on parameters such as speedup, efficiency, and utilization of processors have been carried out. The performance evaluation of HIRECS in the simulation of some bench mark circuits like inverter chains and multiplexers indicates that a significant speedup, almost linear, can be obtained using a hypercube. For circuits with large number of nodes, such an implementation can result in tremendous saving in the computation time.
This paper describes a Fault Explanation System (FES) that AIDS in the diagnosis of failures in discrete event systems such as certain manufacturing processes. These systems are characterized by the use of programmabl...
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To increase task flexibility in a robotic assembly environment, a hierarchical planning and execution system is being developed which will map user-specified 3D part assembly tasks into various target robotic work cel...
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Research in artificial neural networks has generally emphasized homogeneous architectures. In contrast, the nervous systems of natural animals exhibit great heterogeneity in both their elements and patterns of interco...
Research in artificial neural networks has generally emphasized homogeneous architectures. In contrast, the nervous systems of natural animals exhibit great heterogeneity in both their elements and patterns of interconnection. This heterogeneity is crucial to the flexible generation of behavior which is essential for survival in a complex, dynamic environment. It may also provide powerful insights into the design of artificial neural networks. In this paper, we describe a heterogeneous neural network for controlling the walking of a simulated insect. This controller is inspired by the neuroethological and neurobiological literature on insect locomotion. It exhibits a variety of statically stable gaits at different speeds simply by varying the tonic activity of a single cell. It can also adapt to perturbations as a natural consequence of its design.
This paper is concerned with the problem of identification of timevarying linear stochastic systems. Slowly time-varying systems are first considered. Recursive identification algorithms are described in U-D factorize...
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This paper is concerned with the problem of identification of timevarying linear stochastic systems. Slowly time-varying systems are first considered. Recursive identification algorithms are described in U-D factorized forms. In presence of abrupt parameter changes, the tracking ability of identification algorithms is improved by use of a fault detection method resulting in adaptive identification algorithms. A comparison of performance of various adaptive identification algorithms is carried out through a study in simulation and experimental results are given to show the influence of the tuning parameters of such algorithms
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