A method is presented for distributed position control of the tip of a high degree of freedom tentacle. The scheme employs limited communications which occurs only between adjacent degrees of freedom. Total computatio...
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ISBN:
(纸本)0819434329
A method is presented for distributed position control of the tip of a high degree of freedom tentacle. The scheme employs limited communications which occurs only between adjacent degrees of freedom. Total computational requirements for the tentacle are linear with the number of degrees of freedom and are distributed as identical processes at joint. An iterative approach to position control allows automatic path planning around obstacles to occur. The resulting system allows complex tasks to be performed with limited computation and sensing resources. The algorithm was used as a basis for locomotion for a mobile robot with four tentacles.
The problem of distributed Kalman filtering for sensor network is one of the most fundamental distributed estimation problems for scalable sensorfusion. This article introduced that the sensor-fusion algorithm was ba...
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ISBN:
(纸本)9781424408177
The problem of distributed Kalman filtering for sensor network is one of the most fundamental distributed estimation problems for scalable sensorfusion. This article introduced that the sensor-fusion algorithm was based on the least-squares estimate of a vector which is based on the measurements of all the agents and the covariance of this fused least-squares estimate. It also showed that dynamic consensus can be followed by these vectors which can be analyzed by algebraic connectivity of consensus velocity. And its application was validated in HVDC. The simulation proves that it can reduce the promulgation of the noise, implementing the convergence and tracking the fast signal.
One of the main research goals on distributed autonomous agents in a Multi-Agent System is the development of mechanisms to form a better world model using information merging from different agents. In this paper, we ...
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ISBN:
(纸本)9781467397087
One of the main research goals on distributed autonomous agents in a Multi-Agent System is the development of mechanisms to form a better world model using information merging from different agents. In this paper, we present a solution for robust online and real-time multiple object tracking in a multi-agent system using information gathered by various agents over time, using COP-KMeans for clustering and Kalman Filtering for object state estimation. The proposed solution was implemented on a real robotic soccer team and evaluated in the RoboCup Middle-Size League competitions. The robotic soccer was presented as one possible application for the ideas expressed on this paper.
New experimental hardware for research into architectures for distributed intelligent embedded systems is proposed that will provide a wide range of communication media including non-deterministic broadcast such as Et...
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ISBN:
(纸本)0819426415
New experimental hardware for research into architectures for distributed intelligent embedded systems is proposed that will provide a wide range of communication media including non-deterministic broadcast such as Ethernet, deterministic broadcast such as CAN and processor busses such as VME. The emphasis is on large scale system integration rather than provision for individual capabilities. A prototype implementation of some of the proposed hardware and software modules is described together with their use in several research.
In many cases cooperation between robots is implemented using explicit, perhaps complex, coordination protocols. However, research in behavior-based multirobot systems suggests that effective cooperative teams can be ...
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ISBN:
(纸本)0819434329
In many cases cooperation between robots is implemented using explicit, perhaps complex, coordination protocols. However, research in behavior-based multirobot systems suggests that effective cooperative teams can be composed of agents using simple individual agent behaviors with limited or no communication. In this paper we propose behavioral diversity as an alternative cooperative strategy. Behavioral diversity refers to the extent to which agents assume distinct behavioral roles in a group. By filling diverse roles the team members distribute responsibility for various components of the task. It is not always the case, however, that diversity is advantageous. Results of experiments in robotic soccer and multirobot foraging tasks indicate that the utility of diversity depends on the task. This paper describes behaviorally diverse solutions to these tasks and provides a comparison that suggests why some tasks are suited for behavioral diversity and others are not.
A concept of a self-repairable mechanical system which is composed of homogeneous mechanical units is described. We have developed a modular system capable of "self-assembly" and self-repair. The former mean...
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ISBN:
(纸本)0819434329
A concept of a self-repairable mechanical system which is composed of homogeneous mechanical units is described. We have developed a modular system capable of "self-assembly" and self-repair. The former means a set of units can form a given shape of the system without outside help, and the latter means the system restores the original shape if an arbitrary part of the system cut off. We show both of two-dimensional and three-dimensional unit design, and distributed algorithms for the units.
The author previously published a unified perceptual reasoning system framework for adaptive sensorfusion and situation assessment. This framework is re-examined to highlight the role of human perceptual reasoning an...
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ISBN:
(纸本)0819444790
The author previously published a unified perceptual reasoning system framework for adaptive sensorfusion and situation assessment. This framework is re-examined to highlight the role of human perceptual reasoning and to establish the relationship between human perceptual reasoning and the Joint Director of Laboratories (JDL) fusion levels. Mappings between the fusion levels and the elements of perceptual reasoning are defined. Methods to populate the knowledge bases associated with each component of the perceptual reasoning system are highlighted. The concept and application of perception, the resultant system architecture and its candidate renditions using distributed interacting software agents (ISA) are discussed. The perceptual reasoning system is shown to be a natural governing mechanism for extracting, associating and fusing information from multiple sources while adaptively controlling the "fusion level" processes for optimum fusion performance. The unified modular system construct is shown to provide a formal framework to accommodate various implementation alternatives. The application of this architectural concept is illustrated for distributedfusion systems architectures and is used to illustrate the benefits of the adaptive perceptual reasoning system concept.
In this paper, two mobile agent based distributed Kalman filter algorithms are proposed for optimal information fusion in sensor networks. In the proposed methods, mobile agents (MAs) play an important and fundamental...
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ISBN:
(纸本)9781467356343
In this paper, two mobile agent based distributed Kalman filter algorithms are proposed for optimal information fusion in sensor networks. In the proposed methods, mobile agents (MAs) play an important and fundamental role in information fusion. A mobile agent travels among the sensors and collects the necessary information. The collected information is carried to a fusion centre in which the optimal state estimates are computed. Finally, the proposed methods are applied on a radar tracking system with five sensors arranged in two rings with some faulty sensors. Performance of the proposed methods will be compared with the centralized Kalman filter.
The problem addressed is the distributed reconfiguration of a metamorphic robotic system composed of any number of two dimensional hexagonal modules from specific initial to specific goal configurations. The initial c...
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ISBN:
(纸本)0819438618
The problem addressed is the distributed reconfiguration of a metamorphic robotic system composed of any number of two dimensional hexagonal modules from specific initial to specific goal configurations. The initial configuration considered is a straight chain of modules, while the goal configurations considered satisfy a more general "admissibility" condition. A centralized algorithm is described for determining whether an arbitrary goal configuration is admissible. The main result of the paper is a distributed algorithm for reconfiguring a straight chain into an admissible goal configuration. Different heuristics are proposed to improve the performance of the reconfiguration algorithm and simulation results demonstrate the use of these heuristics.
In the field of civil engineering an effective infernal monitoring of pipes and water storage is very problematic. Normally the sensors used for the task are either fixed or manually movable. Thus they will only provi...
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ISBN:
(纸本)0819426415
In the field of civil engineering an effective infernal monitoring of pipes and water storage is very problematic. Normally the sensors used for the task are either fixed or manually movable. Thus they will only provide locally and temporally restricted information. As a solution an underwater roboticsensor/actuator society is presented. The system is capable of operating inside a fluid environment as a kind of distributedsensory system. The value of the system emerges from the interactions between the members. Through a communication system the society fuses information from individual members and provides a more reliable estimate of the conditions inside water systems. Test results in a transparent demo process consisting of tanks and pipes with a volume of 700 liters are presented.
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