One of the main problems in constructing a supervisory robot seems to be the excess of available real-time information. The trend is to make a robot obtaining data from a lot of sensors before it takes a decision. Mul...
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ISBN:
(纸本)0819407488
One of the main problems in constructing a supervisory robot seems to be the excess of available real-time information. The trend is to make a robot obtaining data from a lot of sensors before it takes a decision. Multiplicity of sensors increases hardware costs and control software complexity. A robot usually needs only a small part of all available information for an efficient performance. The current work will demonstrate a new approach to design of information-efficient supervisory robots. The theory combines the basic concepts of discrete event control extended to stochastic systems with some ideas of information economics. A controlled system behavior is modeled as a sequence of uncontrolled events and robot's decisions. Decisions are based on events observed by robot, and each event needs a sensor to be observed. The model provides a formal statement of the sensors selection problem. A solution procedure of the stated problem will be demonstrated, and some applications of the method to different types of roboticcontrol will be presented.
The European Community's strategic research initiative in information technology (ESPRIT) has been in place for nearly five years. An early example of the pan-European collaborative projects being conducted under ...
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ISBN:
(纸本)0819407488
The European Community's strategic research initiative in information technology (ESPRIT) has been in place for nearly five years. An early example of the pan-European collaborative projects being conducted under this initiative is 'SKIDS': Signal and Knowledge Integration with Decisional control for Multisensory systems. This four year project, which is approaching completion, aims to build a real-time multisensor perception machine. This machine will be capable of performing data fusion, interpretation, situation assessment, and resource allocation tasks, under the constraints of both time and resource availability, and in the presence of uncertain data. Of the many possible applications, the surveillance and monitoring of a semi-automated 'factory environment' has been chosen as a challenging and representative test scenario. This paper presents an overview of the goals and objectives of the project, the makeup of the consortium, and roles of the members within it, and the main technical achievements to data. In particular, the following are discussed: relevant application domains, and the generic requirements that can be inferred from them;sensor configuration, including choice, placement, etc.;control paradigms, including the possible trade-offs between centralized, hierarchical, and decentralized approaches;the corresponding hardware architectural choices, including the need for parallel processing;and the appropriate software architecture and infra-structure required to support the chosen task oriented approach. Specific attention is paid to the functional decomposition of the system and how the requirements for control impact the organization of the identified interpretation tasks. Future work and outstanding problems are considered in some concluding remarks. By virtue of limited space, this paper is descriptive rather than explanatory.
The authors address the development of a coherent framework suitable for the treatment of the heterogeneous multisensorfusion problem, in the context of a robotic environment. The analysis, is based on a geometric de...
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The authors address the development of a coherent framework suitable for the treatment of the heterogeneous multisensorfusion problem, in the context of a robotic environment. The analysis, is based on a geometric description of the robotic environment, and concentrates on parameterizable features of the assumed rigid dynamic objects of interest present in the environment. A quantitative representation of a sensor's inherent ability to extract pertinent information from the environment is stressed. A highly efficient, flexible, and fault-tolerant, decentralizedsensorfusion architecture based on a linear information type structure is presented and compared with previous work in this area. The inclusion of techniques to cope with generalized spatial and temporal uncollocation, along with conclusive discussions on the most appropriate level in the fusion structure for these alignment procedures to be performed, represent the principal contribution.< >
This article proposes a behavioral control formalism to explain situations often encountered in complex sensor/data fusion (eventually decentralized) information acquisition, command and controlsystems, it involves m...
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This article proposes a behavioral control formalism to explain situations often encountered in complex sensor/data fusion (eventually decentralized) information acquisition, command and controlsystems, it involves making the input-output relations of each actor involved in the fusion process conditional on selected behavioral classes, with error creation and repair options. For each behavioral class, the input-output relations are modified by concurrent behavioral rules, while the class itself has visible and hidden attributes. A formalism is also given for interactions between actors. This approach allows to describe and analyze such situations as: indirect observations, ambiguous controls, hysterisis, deadlocks, initiation of attention mechanisms. Finally, the engineering use of this approach is illustrated by three concrete designs involving humans operating indoors.
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