Although machine planning has attracted great interest among researchers, it has seldom been used outside research labs. One impediment to widespread use is that existing planners are often difficult to integrate with...
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Although machine planning has attracted great interest among researchers, it has seldom been used outside research labs. One impediment to widespread use is that existing planners are often difficult to integrate with other parts of a manufacturing system. We address this problem by showing how assembly trees (constructs often used by factories identifying how to construct an object) can easily be converted into HTN operators for our machine planner. We also demonstrate that our plans can be easily converted to a Petri-Net or matrix representation that ordinary discrete-event controllers can manipulate. We view our planner as one portion of a complete control system. We also demonstrate how our system can combine multiple alternatives into a single representation. Finally, we show that the combined representation can be converted back into a more conventional plan representation, allowing machine planners to compactly reason about alternate courses of action.
There are considered the creation problems of organizational and manufacturing systems as formalized system-formation process according to the construction conception of resource-goal triads. Triad is formed and is us...
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There are considered the creation problems of organizational and manufacturing systems as formalized system-formation process according to the construction conception of resource-goal triads. Triad is formed and is used as the base element of description formalization of the purpose achievement procedure by means of system-formation process and connects three components necessary for creation of any system (reasons of system origin, existence purpose, possibility of creation). The proposed procedure of system-formation is a basis for development of theoretical bases for modeling and research of controlled manufacturing systems.
Excavation of underground utility pipelines is a common task for residential and commercial development. One of the most important tasks in underground excavation is the location and orientation of buried utility line...
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Excavation of underground utility pipelines is a common task for residential and commercial development. One of the most important tasks in underground excavation is the location and orientation of buried utility lines. In this paper, several pulse induced electromagnetic sensor coils are discussed which have been designed, fabricated and tested for underground utility pipe recognition. The work has been performed through the Buried Utilities Detection System (BUDS) Consortium at North Carolina State University. Characteristics of the sensor coils, including resolution and range, are provided and field test results are discussed.
This paper proposes a genetic-based algorithm for surface reconstruction of three-dimension (3-D) objects from a group of contours representing its section plane lines. The algorithm can optimize the triangulation of ...
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This paper proposes a genetic-based algorithm for surface reconstruction of three-dimension (3-D) objects from a group of contours representing its section plane lines. The algorithm can optimize the triangulation of the surface of 3-D objects with a multi-objective optimization function to meet the needs of a wide range of applications. Further, a new crossover operator for triangulation and a new 3-D quadrilateral mutation operator are also introduced.
A telesensation system implies the ultimate goal of teleoperation. Such a system provides the operator with the sensational feelings of the remote site as if he/she were working in the actual environment. Thus, the pe...
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A telesensation system implies the ultimate goal of teleoperation. Such a system provides the operator with the sensational feelings of the remote site as if he/she were working in the actual environment. Thus, the performance of the system is greatly improved. This paper mainly reviews some of the existing units of the three most important elements in a telesensation system. These units are force-reflecting manual controllers, virtual reality units, and an advanced operator interface. The feel of touch is provided by the force-reflecting manual controller, while the virtual reality unit gives the operator the 3-D view of the working environment. The telesensation system, also implemented with the advanced operator interface, allows the operator to easily control, model, plan, and simulate remote systems. These features have proven to be the most significant feedback of telesensation systems.
A systematic derivation of fluid capacitance for use in compressible and incompressible fluid power modeling is presented. Equations are stated explicitly for the control volume pressure and temperature states, which ...
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This paper reviews a number of recent algorithms for mobile robot path planning, navigation and motion control, which employ fuzzy logic and neuro-fuzzy learning and reasoning. Starting with a discussion of the struct...
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This paper describes a step by step validation procedure of a mobile manipulator simulation. The procedure includes performing basic model simulations, a sensitivity analysis, and a stochastic output analysis. Static,...
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This paper describes a step by step validation procedure of a mobile manipulator simulation. The procedure includes performing basic model simulations, a sensitivity analysis, and a stochastic output analysis. Static, quasi-static, and dynamic experiments performed on a real system and simulated using DADS/sup TM/ are also presented. An algorithm to time the model parameters, to match the output of the simulations to the output of the real system, was successfully implemented. Finally, an optimization procedure on the design parameters of the system is discussed.
Fuzzy-c-means (FCM) and hard clustering algorithms are the most common tools for data partitioning. However, these clustering algorithms may fail completely in the presence of noise. We introduce a robust noise reject...
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Fuzzy-c-means (FCM) and hard clustering algorithms are the most common tools for data partitioning. However, these clustering algorithms may fail completely in the presence of noise. We introduce a robust noise rejection clustering algorithm based on a combination of techniques that treat the FCM weak points with a traditional noise rejection algorithm. Unlike the traditional FCM, the proposed algorithm is a powerful tool for partitioning the data in the presence of noise (outliers).
The robustness performance of the fuzzy inference mechanism is investigated in terms of maximum deviation of the fuzzy and crisp output as a result of deviation in the input membership grades. A parameterized formulat...
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The robustness performance of the fuzzy inference mechanism is investigated in terms of maximum deviation of the fuzzy and crisp output as a result of deviation in the input membership grades. A parameterized formulation of fuzzy reasoning helps us adjust the robustness by varying the inference parameters. This feature will improve the generalization capability of the fuzzy logic models as illustrated in an example.
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