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Trajectory modification of a cloud learning robot

机译:云学习机器人的轨迹修改

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In the near future, home service robots will enter our daily life and interact with people more and more frequently. In order to cope with the needs and habits of different users, an easy robot programming method is desirable. For some users, who are not familiar with programming, customizing the robot program deserves attention. This paper suggests a method to use Programming by Demonstration(PbD) to teach a robot through user demonstration of the trajectory and save the trajectory into a cloud database to facilitate future playback when needed. Through the cloud database, each robot shares previously recorded trajectories. However, in many cases a recorded trajectory may need to be modified to be customized for an individual user. In this paper, a method is proposed to facilitate the robot to return to the original trajectory as part of the retrieved trajectory is modified. Experimental results are presented by using two robots in the robotic cloud system. The first one is the prototype dual-arm home service robot Aladdin developed in the lab. The second robot is a TM5 robot from Techman, which reproduced the learned trajectories remotely.
机译:在不久的将来,家庭服务机器人将进入我们的日常生活,并更频繁地与人们互动。为了应对不同用户的需求和习惯,需要一种简单的机器人编程方法。对于一些不熟悉编程的用户,自定义机器人程序值得关注。本文建议使用演示(PBD)使用编程的方法来通过用户演示来教导机器人,并将轨迹保存到云数据库中,以便在需要时促进未来的播放。通过云数据库,每个机器人都符合先前录制的轨迹。然而,在许多情况下,可能需要修改录制的轨迹以用于为单独的用户定制。在本文中,提出了一种方法,以便于将机器人返回到原始轨迹,作为修改检索的轨迹的一部分。通过在机器人云系统中使用两个机器人来提出实验结果。第一个是在实验室中开发的原型双臂家庭服务机器人阿拉丁。第二个机器人是来自Techman的TM5机器人,其远程再现了学习的轨迹。

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