Adaptive distributed fetching and retrieval of goods by a swarm-bot

G. Pettinaro, L. Gambardella, A. Ramirez-Serrano
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引用次数: 14

Abstract

Swarm robotics is a rising paradigm which aims at designing new robot artifacts by extracting engineering guidelines from Nature. The work presented here shows the use of a particular swarm of robots called swarm-bot for carrying out distributed missions of fetching and retrieval of objects. To solve this task, a high level description plan defined in terms of behaviors is synthesized. A mission is divided in four different stages: searching for a target, calling for a swarm to aggregate as soon as one is found, jointly fetching it, and jointly retrieving it back. All robots used (s-bots) are assumed to know the same set of behaviors as well as the same behavioral plan for carrying out the task. Units are kept purely reactive, thus they do not keep any memory of their previous history. This allows to withstand changes in a highly dynamic environment. Coordination is achieved asynchronously by using light signals, whereas cooperation for the actual transportation is realized by using a force sensor located between the turret and the tracks of each s-bot. A swarm-bot, which is formed by a group of s-bots physically connected to their target, is capable of behaving during its homeward motion as if it were a single entity. Experiments show the high level of adaptability and resilience of a swarm-bot with respect to occasional possible failures of its members
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基于群体机器人的自适应分布式货物提取与检索
蜂群机器人是一种新兴的机器人技术范式,它旨在通过从自然中提取工程准则来设计新的机器人工件。这里展示的工作展示了使用一种称为swarm-bot的特殊机器人群来执行获取和检索对象的分布式任务。为了解决这个任务,合成了一个根据行为定义的高级描述计划。任务分为四个不同的阶段:寻找目标,找到目标后召集蜂群聚集,联合获取目标,联合取回目标。假设所有使用的机器人(s-bots)都知道相同的行为集以及执行任务的相同行为计划。单位保持纯粹的反应性,因此它们不保留任何以前历史的记忆。这允许在高度动态的环境中承受变化。通过使用光信号实现异步协调,而实际运输的合作是通过位于每个s-bot的炮塔和轨道之间的力传感器实现的。swarm-bot是由一组s-bot物理连接到它们的目标组成的,它在返回的过程中能够表现得像一个单一的实体。实验表明,集群机器人对其成员偶尔可能出现的故障具有高度的适应性和弹性
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