A new paradigm of event-based robotic control, called reference adaptive impedance control, is presented for partially constrained robots under uncertain or unknown environmental constraints. The reference adaptive im...
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A new paradigm of event-based robotic control, called reference adaptive impedance control, is presented for partially constrained robots under uncertain or unknown environmental constraints. The reference adaptive impedance control determines the desired next state adaptively in such a way as to follow the optimal path from the current state, where the optimal path is generated with the environmental constraints updated through time. The embedded impedance control provides a mechanism for collecting more complete information on the environment. An application to obstacle avoidance trajectory planning is given with computer simulations.
—This paper describes a multiple criteria, statistical technique for mobile robot evaluation. The evaluation method measures the time and energy costs of a particular class of exploratory mission. The method is imple...
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The emergence and effectiveness of communication interface in a colony of autonomous agents is discussed in this paper. The robotic agents sense the world within which they are embedded, while performing specific task...
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This paper describes a multiple criteria, statistical technique for mobile robot evaluation. The evaluation method measures the time and energy costs of a particular class of exploratory missions. The method is implem...
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This paper describes a multiple criteria, statistical technique for mobile robot evaluation. The evaluation method measures the time and energy costs of a particular class of exploratory missions. The method is implemented in the special case of one wheeled mobile robot in the laboratory, which was made to execute several (approximately 100) instances of the mission. It is proposed that a validated, dynamic model of the robot embedded in a simulated mission scenario is to be used to study alternate robot designs in a small 'neighborhood' of the existing physical system. Such a simulation was built and is described here. Results from trials with the physical robot and its simulated counterpart are compared and shown to agree well. The simulation is used to evaluate designs not constructed in the laboratory, and results are discussed.
A method of automatically reducing uncertainties and calibrating possible biases involved in sensed data and extracted features by a system based on the geometric data fusion is proposed. The perception net, as a stru...
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A method of automatically reducing uncertainties and calibrating possible biases involved in sensed data and extracted features by a system based on the geometric data fusion is proposed. The perception net, as a structural representation of the sensing capabilities of a system, connects features of various levels of abstraction, referred to here as logical sensors, with their functional relationships such as feature transformations, data fusions, and constraints to be satisfied. The net maintains the consistency of logical sensors based on the forward propagation of uncertainties as well as the backward propagation of constraint errors. A novel geometric data fusion algorithm is presented as a unified framework for computing forward and backward propagations through which the net achieves the self-reduction of uncertainties and self-calibration of biases. The effectiveness of the proposed method is validated through simulation.
The capability of robotic systems to deal with uncertainties, biases, and errors automatically is crucial for the tasks defined in an unstructured environment. In this paper, we present a method of automatically reduc...
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ISBN:
(纸本)0780336127
The capability of robotic systems to deal with uncertainties, biases, and errors automatically is crucial for the tasks defined in an unstructured environment. In this paper, we present a method of automatically reducing uncertainties and calibrating possible biases involved in sensed data and extracted features by a system based on the geometric data fusion. The perception net, as a structural representation of the sensing capabilities of a system, connects features of various levels of abstraction, referred to here as logical sensors, with their functional relationships such as feature transformations, data fusions, and constraints to be satisfied. The net maintains the consistency of logical sensors based on the forward propagation of uncertainties as well as the backward propagation of constraint errors. A novel geometric data fusion algorithm is presented as a unified framework for computing forward and backward propagations through which the net achieves the self-reduction of uncertainties and self-identification of biases. The effectiveness of the proposed method is validated through simulation by applying it to a mobile robot self-localization problem.
A broad computer research program that includes many topics of basic research such as perceptual grouping, stereo and motion analysis, shape description and object recognition as well as many application areas such as...
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A broad computer research program that includes many topics of basic research such as perceptual grouping, stereo and motion analysis, shape description and object recognition as well as many application areas such as aerial image analysis, moving target analysis and vehicle navigation are being conducted at the University of Southern California. The objective of the research is to construct 'generic' vision system. A generic system is one that is capable of working in a variety of domains, or at least is capable of being reconfigured rapidly to do so.
A fixture is an arrangement of fixturing modules that locate and hold a workpart during a manufacturing operation. In this work we address the fixturing problem in the plane. We consider fixtures with frictionless poi...
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Fixtures are devices used in manufacturing to immobilize a part far operations such as assembly, inspection or machining. Modular fixtures are configurations of standard components. The goal of a automatic modular fix...
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Fixtures are devices used in manufacturing to immobilize a part far operations such as assembly, inspection or machining. Modular fixtures are configurations of standard components. The goal of a automatic modular fixture design is to find algorithms to determine a set of fixturing contact points automatically, given a set of modular components and the fixturing requirements. This paper considers the problem of generating valid assembly sequences for a given modular future configuration. This is called assembly planning for modular fixtures. Because the application domain is known, we can devise an efficient assembly planning system taking advantage of the characteristics of the fixture domain. In this paper, we propose a fastener-based approach which considers the functionality of fasteners (to hold the fixture components together) to achieve both the efficiency in assembly planning and the stability of the generated assembly sequences. We also describe an accessibility measure that can be used to select preferred assembly sequences. This work complements automatic fixture design such that complete automation can be achieved from the design of a fixture to its assembly, which can be performed manually or with the aid of robots.
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