We have studied the generation of regrasping motion for a four-fingered robot using evolutionary programming (EP). EP has the advantage of finding the set of optimal numerical values but it requires many iterations to...
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We have studied the generation of regrasping motion for a four-fingered robot using evolutionary programming (EP). EP has the advantage of finding the set of optimal numerical values but it requires many iterations to find it. The regrasping strategy obtained cannot be applied to other object shapes than those used in the search process. We consider that the regrasping strategy generated by EP should be reused for other sizes of object. We propose an expansion of the method for other sizes of grasped object. We show the effectiveness of the method with experimental results.
The focus of today's test system programmer is code reusability through common test modules. To achieve the greatest reusability these modules should be written using standard interfaces, such as DLLs and ActiveX ...
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The focus of today's test system programmer is code reusability through common test modules. To achieve the greatest reusability these modules should be written using standard interfaces, such as DLLs and ActiveX automation servers. By using these standard interfaces inside an enterprise code modules can be used across development teams and in different projects. We discuss specifically: explaining the pros and cons of standard DLLs versus ActiveX/COM automation servers; programming these interfaces into test modules using standard programming languages, such as National Instruments LabWindows/CVI and Microsoft Visual Basic and Visual C++; integrating these interfaces into projects and test executives.
Cellular automata are well-known for their self-organizing and dynamic behaviors in the field of artificial life. This paper addresses a new neuronic architecture, called an evolvable cellular classifier, which evolve...
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Cellular automata are well-known for their self-organizing and dynamic behaviors in the field of artificial life. This paper addresses a new neuronic architecture, called an evolvable cellular classifier, which evolves by means of genetic rules (chromosomes) in nonuniform cellular automata. An evolvable cellular classifier is primarily based on cellular programming, but its mechanism is simpler because it utilizes only mutations for its main genetic operators, and it resembles the Hopfield network. Therefore, desirable bit patterns can be obtained through evolutionary processes for just one individual agent. As a result, evolvable hardware is derived which is applicable to the classification of bit-string information.
The literature on automated techniques suggests that such techniques might be useful for complex decision-making where other approaches have proven limited. We present a genetic technique that assists decision makers ...
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ISBN:
(纸本)0769504930
The literature on automated techniques suggests that such techniques might be useful for complex decision-making where other approaches have proven limited. We present a genetic technique that assists decision makers in developing strategies for decision-making in complex, multi-objective and multi-person negotiation situations. Strategies are evolved with significant input from decision makers to enhance the acceptability of solutions in real-world applications. The preferences of all decision makers are integrated into the search so that solutions are consistent with the needs of all participants in the negotiation situation and further ensure the implementability of solutions in practice. The results show that the outcomes achieved by all parties involved in the negotiation are improved significantly when the genetic search is used to help devise strategies for the negotiation participants.
The authors describe how energy saving has been obtained by using the soft-starter to reduce the voltage applied to the motor. Iron losses are then reduced and energy saving is achieved. The use of an autotransformer ...
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The authors describe how energy saving has been obtained by using the soft-starter to reduce the voltage applied to the motor. Iron losses are then reduced and energy saving is achieved. The use of an autotransformer instead of a soft-starter has enabled a high energy saving, because the additional losses due to the harmonic currents are not present in this case. Energy saving with no load motor has been about 11% by using the soft-starter and 25% when the autotransformer is used, for load torque proportional to speed and for constant torque loads. Energy saving is decreased when the load torque is increased. Energy saving has been obtained until a load torque of about 42% of the rated torque; for higher torques no energy conservation is achieved. So the results of this paper are useful only for low load conditions. When the autotransformer is used the power factor and efficiency are better than in the other cases.
Summary form only given. Under Rayleigh flat-fading conditions, it is well-known by now that the capacity of a multiple-antenna wireless link increases linearly with the smaller of the number of transmit or receive an...
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Summary form only given. Under Rayleigh flat-fading conditions, it is well-known by now that the capacity of a multiple-antenna wireless link increases linearly with the smaller of the number of transmit or receive antennas, with no increase in bandwidth or transmitted power. This phenomenon was verified experimentally with a scheme called BLAST (Bell Labs Layered Space Time). BLAST requires that the receiver learn the matrix of propagation coefficients. Our current research goal is to realize a high throughput in mobile environments where it may not be feasible to estimate the propagation matrix. A new signalling scheme, unitary space-time modulation, is nearly ideal for this task. We have developed some effective ways to design constellations of these signals. Where a user has extended access to the channel, a variation called differential unitary space-time modulation can be particularly convenient. Moreover space-time signals can function as their own channel codes, with spatial diversity replacing temporal diversity, an effect that we call space-time autocoding. This effect, which may obviate the conventional Shannon requirement to perform channel coding over many independent fades, can benefit differential unitary space-time modulation, as well as schemes where a user has access to the channel for only a short period. For example, within a single coherence interval of 16 symbols, for 7 transmit antennas, 4 receive antennas, and an 18 dB expected SNR, a total of 80 bits (rate 5) can theoretically be transmitted with a block probability of error less than 10/sup -9/, all without any training or knowledge of the propagation matrix.
The goal of result-verification is to prove that one execution run of a program satisfies its specification. Compared with implementation-verification, result-verification has a larger scope for applications in practi...
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The goal of result-verification is to prove that one execution run of a program satisfies its specification. Compared with implementation-verification, result-verification has a larger scope for applications in practice, gives more opportunities for automation and, based on the execution record not the implementation, is particularly suitable for complex systems. This paper proposes a technical framework to apply this technique in practice. We show how to write formal result-based specifications, how to generate a verifier program to check a given specification and to carry out result-verification according to the generated program. The execution result is written as a text file, the verifier is written in AWK (special-purpose language for text processing) and verification is done automatically by the AWK interpreter given the verifier and the execution result as inputs.
We have studied generation method of regrasping motion for four-fingered robot using evolutionary programming (EP). EP has advantage of finding the alley of optimal numerical values but it requires much iteration to f...
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We have studied generation method of regrasping motion for four-fingered robot using evolutionary programming (EP). EP has advantage of finding the alley of optimal numerical values but it requires much iteration to find it. This obtained regrasping strategy can not be applied to the other shaped-object except an object used in finding process. Therefore the generated regrasping strategy by EP should be reused for other sized-object. In this paper we proposed the adaptation algorithm for different size of grasping object. We show the effectiveness of the method with the experimental results.
Path planning is a crucial step in automatic programming of coordinate measuring machines(CMMs). The goal is to generate an efficient and collision-free path for the CMM to inspect a collection of points. Previous res...
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Path planning is a crucial step in automatic programming of coordinate measuring machines(CMMs). The goal is to generate an efficient and collision-free path for the CMM to inspect a collection of points. Previous research concentrates on path planning between two points, or sequencing the points without regard to obstacles and collisions. In this paper we propose a practical path planner that considers both sequencing and collision avoidance. The main idea is to create a roadmap of free-space, where the measurement points are nodes in the network. Once all the measurement points are in a single connected component of the roadmap, then a tour of the points is found by solving the appropriate traveling salesperson problem. CMM heuristics are used to construct the roadmap in an efficient and robust manner. The planner has been implemented and tested on real-world mechanical parts.
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