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Supervised autonomy for robotic inspection

机译:机器人检查的监督自主权

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摘要

Experience deploying robots for security and inspection tasks shows that often the activity of "driving" the robot interferes with the activity of observing the sensor data (often visual) collected by the robot. It has been suggested that the supervised autonomy paradigm can improve system performance. In this approach, some aspects of the robot's actions are automated, particularly motion control, freeing the operator to focus on the inspection task. In this paper we describe the laboratory-level proof-of-concept development and implementation of a semi-autonomous mode for the ODIS robot, whereby, under the direction and supervision of an operator, the robot can self-navigate in a limited structured environment while sending back video images for operator inspection. Laboratory results show the feasibility of the approach.
机译:部署机器人以执行安全性和检查任务的经验表明,“驾驶”机器人的活动经常会干扰观察机器人收集的传感器数据(通常是视觉)的活动。有人提出,监督自主范式可以提高系统性能。在这种方法中,机器人动作的某些方面是自动化的,特别是运动控制,使操作员可以将精力集中在检查任务上。在本文中,我们描述了ODIS机器人的实验室级概念验证开发和半自主模式的实现,从而在操作员的指导和监督下,机器人可以在有限的结构化环境中进行自我导航同时发回视频图像以供操作员检查。实验室结果表明了该方法的可行性。

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