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RSAW: A situation awareness system for autonomous robots

机译:RSAW:一种用于自主机器人的态势感知系统

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摘要

Services and technologies are in evolution in order to develop a new generation of robotic systems that might operate in dynamic real-world environments. In this paper, we focus on the ability of robot to understand and to surpass the blocked situations autonomously without operator intervention. Such situations may occur when the robot cannot succeed the current action and cannot move to the next one. We remark that in the literature, the operator has a crucial role consisting in providing all information about the environment and in making interpretations. In this paper, we propose an RSAW (Robot Situation AWareness) system, developed in order to help a robot to surpass a blocked situation and accomplish its goal whilst minimizing the operator intervention. RSAW is a new general system aiming to increase the autonomy of the robot; It is inspired by the notion of Situation Awareness (SA). In fact, RSAW defines a knowledge representation using ontologies and a process in order to surpass a blocked situation. RSAW is designed according to the Model Driven Engineering (MDE) methodology. This choice is done to preserve the generality of our system. This paper focalizes on the process of the RSAW system and the interaction between the process and the knowledge representation. The experimentations conducted in real environment with the Smart Autonomous Majordomo (SAM) robot, have shown the robustness and the efficiency of the proposed system.
机译:为了开发可能在动态现实环境中运行的新一代机器人系统,服务和技术正在不断发展。在本文中,我们着重于机器人在无需操作员干预的情况下自动理解和克服阻塞情况的能力。当机器人无法成功执行当前动作并且无法移动至下一动作时,可能会发生这种情况。我们注意到,在文献中,操作员在提供有关环境的所有信息以及进行解释方面起着至关重要的作用。在本文中,我们提出了一种RSAW(机器人状况感知)系统,旨在帮助机器人克服阻塞状况并实现其目标,同时最大程度地减少操作员的干预。 RSAW是旨在提高机器人自主性的新通用系统。它受到情境意识(SA)概念的启发。实际上,RSAW使用本体和过程定义知识表示,以克服阻塞的情况。 RSAW是根据模型驱动工程(MDE)方法论设计的。进行此选择是为了保留我们系统的通用性。本文着重研究RSAW系统的过程以及过程与知识表示之间的相互作用。使用智能自主Majordomo(SAM)机器人在实际环境中进行的实验显示了所提出系统的鲁棒性和效率。

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