Organization of supervisory control in scenarios of extreme robotics

E. Smirnova, B. Spassky
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引用次数: 2

Abstract

The article describes the general principles of supervisory control organization in extreme robotics scenarios with different levels of autonomy. It is shown that increasing the level of autonomy of the robot allows reducing the operator’s load due to the division of labor between man and machine and to the implementation of the supervisory control mode, the essence of which is the decomposition of the mission into scenarios, which describe algorithms for solving functionally completed tasks and consists of sequence of simple technological operations. Such scenarios are executed automatically. In this case, the operator mainly implements the functions of monitoring and diagnostics, and the control functions are reduced to making decisions about the execution of the next scenario or intervention into execution of the current scenario in cases when the robot makes an obvious mistake or encounters a problem that it cannot solve on its own. Examples of supervisory control implementation when performing work on critical infrastructure facilities, performing search and rescue and other special operations under challenging conditions, including those of heterogeneous groups of robots, are given.
极端机器人场景中监督控制的组织
本文描述了具有不同自治级别的极端机器人场景中监督控制组织的一般原则。研究表明,提高机器人的自主水平可以减少由于人与机器之间的分工和监督控制模式的实施而导致的操作员负荷,其本质是将任务分解为场景,这些场景描述了解决功能完成的任务的算法,并由一系列简单的技术操作组成。这些场景将自动执行。在这种情况下,操作员主要实现监控和诊断功能,控制功能被简化为在机器人出现明显错误或遇到无法自行解决的问题时,决定下一个场景的执行或干预当前场景的执行。给出了在关键基础设施上执行工作、在具有挑战性的条件下执行搜索和救援以及其他特殊操作(包括异质机器人群体)时实施监督控制的示例。
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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