Search and rescue operations in large disaster sites require quick gathering of relevant information. Both the knowledge of the location of victims and the environmental/structural conditions must be available to safe...
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Search and rescue operations in large disaster sites require quick gathering of relevant information. Both the knowledge of the location of victims and the environmental/structural conditions must be available to safely and efficiently guide rescue personnel. A major hurdle for robots in such scenarios is stairs. A system for autonomous surmounting of stairs is proposed in which a Scout robot jumps from step to step. The robot's height is only about a quarter step in size. control of the Scout is accomplished using visual servoing. An external observer such as another robot is brought into the control loop to provide the Scout with an estimation of its pose with respect to the stairs. This cooperation is necessary as the Scout must refrain from ill-fated motions that may lead it back down to where it started its ascend. Initial experimental results are presented along with a discussion of the issues involved.
Sensible Agents have been engineered to solve distributed problems in complex, uncertain, and dynamic domains. Each Sensible Agent is composed of four modules: the Action Planner, Perspective Modeler, Conflict Resolut...
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Sensible Agents have been engineered to solve distributed problems in complex, uncertain, and dynamic domains. Each Sensible Agent is composed of four modules: the Action Planner, Perspective Modeler, Conflict Resolution Advisor, and Autonomy Reasoner. These modules give Sensible Agents the abilities to plan, model, resolve individual conflicts, and change agent system organization. Two component suites provide a variety of user-oriented features: the Sensible Agent Run-time Environment (SARTE) and the Sensible Agent Testbed. The SARTE provides facilities for instantiating Sensible Agents, deploying a Sensible Agent system, and monitoring run-time operations. The Sensible Agents Testbed facilitates automated generation of parameter combinations for controlled experiments, deterministic and non-deterministic simulation, and configuration of Sensible Agents and data acquisition. Experimentation is a crucial step in gaining insight into the behavior of agents, as well as evidence toward or against hypothese s. Using a real-world example, this paper explains and demonstrates: (1) the functional capabilities of Sensible Agents, (2) the Sensible Agent Run-Time Environment's facilities for monitoring and control of Sensible Agent systems and (3) the experimental set-up, monitoring, and analysis capabilities of the Sensible Agent Testbed.
In the given paper principles of organization of neural-like system consisting of a matrix of photoelectric cells are represented. The practical realization of this system allows to obtain a parallel processing of an ...
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ISBN:
(纸本)081944121X
In the given paper principles of organization of neural-like system consisting of a matrix of photoelectric cells are represented. The practical realization of this system allows to obtain a parallel processing of an optical information for environmental physical field monitoring. A computer model of the feed-forward neural network with the hidden layer is developed to reconstruct physical field investigated by the fiber-optic measuring system. The Gaussian distributions of some physical quantity are selected as learning patterns. Neural network is learned by error back-propagation using the conjugate gradient and coordinate descent minimization of deviation. Learned neural network reconstructs the two-dimensional scalar physical field with distribution having one or two Gaussian peaks.
intelligent agents and multiagent societies are becoming a recurrent solution to complex distributed artificial intelligence problems. Some of the agent properties determine the sort of problems that they can solve ef...
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This paper presents the development of an Internet-based system to allow monitoring of important process variables from a distributedcontrol system (DCS). The system is formulated as an add-on to an undergraduate exp...
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ISBN:
(纸本)0780367367
This paper presents the development of an Internet-based system to allow monitoring of important process variables from a distributedcontrol system (DCS). The system is formulated as an add-on to an undergraduate experiment on the development of a desktop DCS. This paper describes the hardware and software design considerations which facilitate the users to access the process variables on the DCS, remotely and effectively, using only a commonly available Web browser.
distributed, real time sensor networks are essential for effective surveillance in the digitized battlefield and for environmentalmonitoring. We present the first systematic theory that leads to novel sensor deployme...
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ISBN:
(纸本)0769510620
distributed, real time sensor networks are essential for effective surveillance in the digitized battlefield and for environmentalmonitoring. We present the first systematic theory that leads to novel sensor deployment strategies for effective surveillance and target location. We represent the sensor field as a grid (two- or three-dimensional) of points (coordinates), and use the term target at a grid point at any instant in time. We use the framework of unidentified codes to determine sensor placement for unique target location. We provide coding-theoretic-bounds on the number of sensors and present methods for determining their placement in the sensor field. We also show that sensor placement for single targets provides asymptotically complete (unambiguous) location of multiple targets.
This paper presents the estimation of travel time on highways based on macroscopic modelling. The focus is on real-time values as compared to average or static values. The macroscopic models are used for distributed a...
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This paper presents the estimation of travel time on highways based on macroscopic modelling. The focus is on real-time values as compared to average or static values. The macroscopic models are used for distributed and time/space lumped settings and corresponding travel time estimation functions and algorithms are developed. The implications of these algorithms for the implementation of various incident management and traffic control strategies are also discussed.
This paper describes the architecture and the foundations of a telegeomatic system designed for monitoring road traffic pollution and the transportation of hazardous materials in the city of Mohammedia, Morocco, in re...
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This paper describes the architecture and the foundations of a telegeomatic system designed for monitoring road traffic pollution and the transportation of hazardous materials in the city of Mohammedia, Morocco, in real-time. The telegeomatic system consists of an integration of a spatial decision support system with new information and communication technologies in a reactive context. With regard to the decision aspect, the fuzzy modelling and, in particular, the fuzzy routing techniques are also described in this paper. Some orientations are also discussed for the integration of real-time intelligent system capabilities.
This paper describes the design and development of DEVS/GDDM, an environmental platform for data distribution management, that allows us to study the interestbased quantization scheme in order to achieve effective red...
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This paper describes the design and development of DEVS/GDDM, an environmental platform for data distribution management, that allows us to study the interestbased quantization scheme in order to achieve effective reduction of data communication in distributed simulation. After a brief review of interest-based quantization scheme, we discuss the implementation of this scheme as a layer above the DEVS/HLA modeling and simulation environment. This paper presents theoretical analysis for bandwidth utilization of the interest-based quantization scheme, especially with predictive and multiplexing extensions, and empirical results in ballistic missiles simulation executing on the DEVS/GDDM environment in NT networking platforms. The results indicate that the DEVS/GDDM environment is very effective and scalable due to reduced local computation demands and extremely favorable communication data reduction with a reasonably small potential for error.
While there has been a significant amount of research on technical issues regarding the development of agent-based learning environments, there is less information regarding cognitive requirements for these environmen...
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While there has been a significant amount of research on technical issues regarding the development of agent-based learning environments, there is less information regarding cognitive requirements for these environments. The management of control is a prime issue with agent-based computer environments given the relative independence and autonomy of the agent from other system components. The author discusses four dimensions of control that should be considered in designing agent-based learning environments. The first dimension of control involves instantiating the instructional purpose of the environment on a constructivist (high learner control) to instructivist (high program/agent control) continuum. The second dimension entails managing feedback, and several issues need to be considered: type, timing, amount, explicitness, and learner control of agent feedback. Third, agent vs learner control is further defined through the desired relationship of the learner to agent(s) (e.g., agent as learning companion, agent as mentor, multiple pedagogical agents, agent as personal assistant, or agent as resource). Fourth, to be instructionally effective, the agent(s) must assert enough control so that the learner develops confidence in the agent(s) in terms of believability, competence, and trust. Overall, an array of possible permutations of system versus learner control must be carefully considered.
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