面向远程机器人模拟器的高效自主训练

K. Belghith
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引用次数: 0

摘要

在本文中,我们提出了Roman Tutor,一个智能辅导模拟器,用于训练宇航员操纵SSRMS,一个部署在国际空间站上的铰接式机械臂。Roman Tutor集成了系统操作课程模型、机器人设备和国际空间站的运动学模拟、高性能路径规划器和自动任务演示生成器。对于学生应该掌握的课程的每个元素,Roman Tutor生成示例任务,让学生在模拟环境中完成,并监控其进度,以便在需要时提供相关反馈。尽管受到SSRMS应用的启发,Roman Tutor仍然适用于任何远程机器人系统应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards efficient autonomous training on telerobotic simulators
In this paper, we present Roman Tutor, an intelligent tutoring simulator to train astronauts on manipulating the SSRMS, an articulated robot arm deployed on the International Space Station. Roman Tutor incorporates a model of the system operations curriculum, a kinematic simulation of the robotics equipment and the ISS, a high performance path planner and an automatic task demonstration generator. For each element of the curriculum that the student is supposed to master, Roman Tutor generates example tasks for the student to accomplish within the simulation environment and monitors its progression to provide relevant feedback when needed. Although motivated by the SSRMS application, Roman Tutor remains applicable to any telerobotics system application.
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