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首页> 外文期刊>Robotics and Autonomous Systems >Mapping and exploration in a hierarchical heterogeneous multi-robot system using limited capability robots
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Mapping and exploration in a hierarchical heterogeneous multi-robot system using limited capability robots

机译:使用有限能力的机器人在分层异构多机器人系统中进行映射和探索

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摘要

This paper focusses on the development of a customised mapping and exploration task for a heterogeneous ensemble of mobile robots. Many robots in the team may have limited processing and sensing abilities. This means that each robot may not be able to execute all components of the mapping and exploration task. A hierarchical system is proposed that consists of computationally powerful robots (managers) at the upper level and limited capability robots (workers) at the lower levels. This enables resources (such as processing) to be shared and tasks to be abstracted. The global environment containing scattered obstacles is divided into local environments by the managers for the workers to explore. Worker robots can be assigned planner and/or explorer tasks and are only made aware of information relevant to their assigned tasks.
机译:本文着重于针对移动机器人异构集合的自定义映射和探索任务的开发。团队中的许多机器人可能具有有限的处理和传感能力。这意味着每个机器人可能无法执行制图和探索任务的所有组件。提出了一个分层系统,该系统由较高级别的计算能力强的机器人(经理)和较低级别的能力有限的机器人(工人)组成。这使资源(例如处理)可以共享,任务可以抽象化。管理者将包含分散障碍的全球环境分为局部环境,供工人探索。可以为工人机器人分配计划者和/或浏览器任务,并且仅使他们知道与其分配的任务有关的信息。

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