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Coordinating Robot Teams for Disaster Relief

机译:协调机器人团队救灾

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摘要

To perform complex tasks, a team of robots requires both reactive and deliberative planning. For reactive control, a restricted variant of Linear Temporal Logic called General Reactivity(1) can be used to synthesize correct-by construction controllers in polynomial time, but they often ignore time and resource constraints to maintain tractable synthesis. For deliberation, hierarchical planning can be used to reason about time and resources. However, the coordination of reactive control and deliberation remains a challenge, which we accomplish through a set of Coordination Variables. We integrate these two approaches in the Situated Decision Process (SDP), a system that we are developing. The SDP will allow an Operator to control a team of semi-autonomous vehicles performing information gathering tasks for Humanitarian Assistance/Disaster Relief operations. We demonstrate that the SDP responds to a dynamic, open world while ensuring that vehicles eventually perform their commanded actions.
机译:为了执行复杂的任务,机器人团队需要反应和审慎规划。对于反应性控制,称为通用反应性(1)的线性时间逻辑的受限制变型可用于在多项式时间中织物通过施工控制器合成,但它们通常忽略时间和资源限制以维持易于合成。对于审议,分层规划可用于了解时间和资源。然而,反应控制和审议的协调仍然是一个挑战,我们通过一系列协调变量来实现。我们在位于决策过程(SDP)中集成了这两种方法,我们正在开发的系统。 SDP将使运营商能够控制一支用于为人道主义援助/救灾行动提供信息收集任务的半自动车辆。我们证明,SDP响应了一种动态,开放的世界,同时确保车辆最终执行其命令行动。

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