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Dynamic state charts: Composition and coordination of complex robot behavior and reuse of action plots

机译:动态状态图:复杂机器人行为的组成和协调和动作图的重用

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One of the challenges in service robotics is the integration and coordination of algorithms and abilities to make a robot perform complex tasks. Task experts of a domain should be able to compose more complex tasks (e.g. make coffee) out of basic tasks (e.g. first detect cup, grasp it,...) without the need to know about their details. State charts are adequate for robot behavior coordination in many applications but lack dynamic mechanisms to manage the complexity of real world tasks. This paper proposes Dynamic State Charts for composition and coordination of complex robot behavior. Dynamic states refine their content (sub behaviors) to execute from alternatives at runtime to manage the complexity of real world tasks. Reusable task plots are bundled with software components and are provided in a repository ("robot app store"). Domain experts can reuse these bundles off-the-shelf in a building blocks manner for their specific application. This supports the separation of' roles during the development process.
机译:服务机器人中的一个挑战是算法和能力的集成和协调,使机器人能够执行复杂任务。域的任务专家应该能够在基本任务中撰写更复杂的任务(例如,使咖啡)(例如,首先检测杯,掌握它......),而无需了解他们的细节。状态图表对于许多应用中的机器人行为协调是足够的,但缺乏管理现实世界任务的复杂性的动态机制。本文提出了用于复杂机器人行为的组成和协调的动态状态图表。动态状态优化他们的内容(子行为)从运行时从替代操作来管理现实世界任务的复杂性。可重用的任务图与软件组件捆绑在一起,并在存储库(“机器人App Store”)中提供。域专家可以以建筑物块的方式重复使用这些捆绑的现成,以获得其特定应用。这支持在开发过程中的角色分离。

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