Dynamic configuration of mobile robot perceptual system

V. Berge-Cherfaoui, B. Vachon
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引用次数: 2

Abstract

This paper describes SEPIA, a system that integrates reactive behavior in a control architecture allowing the configuration of the perceptual system according to execution context, robot objectives and sensor performances. SEPIA is based on multi-agent system concepts where the perception, command and planning functionalities are modeled by agents. After the presentation of the architecture based on a blackboard idea, the authors define the agent structure and model. This model is necessary for an efficient collaboration between agents using the valuation of the performances according to its ability and the context. The selective references are based on result quality and response time t. The dynamic reconfiguration is made possible by bids mechanism associated with selective rules on reference criteria. Finally the implementation of SEPIA is described and the results of experimentation on a real mobile robot are discussed.<>
移动机器人感知系统的动态配置
本文描述了SEPIA,这是一个将反应性行为集成到控制体系结构中的系统,允许根据执行上下文、机器人目标和传感器性能配置感知系统。SEPIA基于多智能体系统概念,其中感知、指挥和规划功能由智能体建模。在介绍了基于黑板思想的智能体体系结构后,定义了智能体的结构和模型。该模型是根据代理的能力和上下文对代理之间的性能进行评估的有效协作所必需的。选择性引用基于结果质量和响应时间t。动态重新配置是通过与参考标准的选择规则相关联的投标机制实现的。最后介绍了SEPIA的实现方法,并讨论了在实际移动机器人上的实验结果
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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