Effective training is essential for human teleoperators to deliver satisfactory performance in actual tasks. Teleoperation is naturally a very difficult task due to the absence of naked-eye vision that cripples the co...
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Effective training is essential for human teleoperators to deliver satisfactory performance in actual tasks. Teleoperation is naturally a very difficult task due to the absence of naked-eye vision that cripples the cognitive behavior of the remote operator. Camera vision somehow is not a satisfactory substitution. However, training with naked-eye vision feedback may help human teleoperators to learn how to deliver satisfactory performance when they actually interact with camera vision. This study was carried out to further investigate this hypothesis, and to quantitatively supplement it with experimental proofs. For this cause, the recently built telerobotic test-bed between KAIST (Korea) and Saga University(Japan) was reshaped to a telerobotic mini-golf system, which is the trial experiment in this study. The performance of the players with and without naked-eye training was compared and quantitatively evaluated. The effectiveness of training with naked-eye vision was verified as an essential part in training human teleoperators.
This paper is an explanation of an approach to the problem of decision making in a multi agent system using genetic algorithm. The soccer game environment is chosen as the distributed system. This algorithm was tested...
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This paper is an explanation of an approach to the problem of decision making in a multi agent system using genetic algorithm. The soccer game environment is chosen as the distributed system. This algorithm was tested during the Robocop competitions against other teams and could register important accomplishments. We also compare the performance of three averaging methodologies; simple weighted averaging approach, genetic algorithm with simple weighted average function, and genetic algorithm with an OWA function. The paper also elaborates ideas on bounded rationality and memorized estimation employed for making the problem tractable.
This paper focuses on genetic optimization and filtering efficiency ofa recently developed class ofWeighted Vector Directional Filters (WVDFs), which minimize the aggregated weighted angular distances between the samp...
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In this paper, we provide a new noise reduction method for the enhancement of the images of gene chips. We demonstrate that the new technique is capable of reducing outliers present in microarray images while preservi...
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This paper presents an approach for functionally dealing with multiple tasks in the supervisory control of discrete-event systems (DES). The colored marking generator (CMG), a special type of Moore automaton, is intro...
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This paper presents an approach for functionally dealing with multiple tasks in the supervisory control of discrete-event systems (DES). The colored marking generator (CMG), a special type of Moore automaton, is introduced as a model that distinguishes classes of tasks in DES. Then, the main results of supervisory control theory are extended to this model, allowing the synthesis of more refined supervisors in control problems where the distinction of classes of task is necessary. Reversibility is also investigated as an alternative way of ensuring liveness of multiple tasks. Finally, an example illustrates the convenience of this approach.
The cerebellar model arithmetic computer (CMAC) is a kind of neural network that is capable of high-speed learning. In the use of the CMAC, various parameters must be defined, but it is difficult to set the parameters...
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UTMAC is an object-oriented C++ class library, developed for design, implementation and simulation of multi-agent controllers. Using UTMAC, the control problem under analysis should be decomposed into several partial ...
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UTMAC is an object-oriented C++ class library, developed for design, implementation and simulation of multi-agent controllers. Using UTMAC, the control problem under analysis should be decomposed into several partial sub-problems to be solved by controller-agents, which can be implemented as reusable entities. UTMAC uses a non-centralized simulation scheme in which cash agent simulates itself. In this paper the structure of UTMAC is explored and design of a simple reusable multi-agent controller is provided to illustrate the work and show the convenience of design and implementation.
The paper is devoted to the problem of modeling demand for inventory management of slow-moving items in the case of reporting errors. It is proposed a generalization of the beta-binomial demand model that takes into a...
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The paper is devoted to the problem of modeling demand for inventory management of slow-moving items in the case of reporting errors. It is proposed a generalization of the beta-binomial demand model that takes into account possible reporting errors in the learning sample. For the new model, there are developed identification and forecasting algorithms that provide consistent estimators of the model parameters and mean square optimal forecasts. The efficiency of the proposed approach is illustrated by an application example for slow-moving car parts.
This paper focuses on the nano-scale analysis of the mechanical properties of polymer and carbon nanotubes (CNT) embedded MEMS devices using the probe tip of the atomic force microscope (AFM).The mechanical properties...
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This paper focuses on the nano-scale analysis of the mechanical properties of polymer and carbon nanotubes (CNT) embedded MEMS devices using the probe tip of the atomic force microscope (AFM).The mechanical properties of the surfaces of layered materials were investigated by using nanoindentation produced with the tips of an AFM. Experiment results indicated the bending characteristics of the device and also the Young's modulus of the CNT embedded micro structure. Our objective was to determine the nano-scale mechanical properties and piezoresistivity of bulk carbon nanotubes using the local probe manipulation.
Our research group, interested in outdoor scenes, has developed a methodology to register a CAD model of a city, with images taken with video cameras installed in a car, while driving city streets. So, we can merge vi...
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