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1.发明授权Robot with automatic selection of task-specific representations for imitation learning 有权机器人自动选择任务特定的表示形式，用于模仿学习公开(公告)号：US08571714B2
公开(公告)日：2013-10-29
申请号：US12709814
申请日：2010-02-22
Applicant: Michael Gienger , Manuel Muehlig , Jochen Steil
Inventor： Michael Gienger , Manuel Muehlig , Jochen Steil
CPC classification number: G05B19/42 , G05B2219/36442
Abstract: The invention proposes a method for imitation-learning of movements of a robot, wherein the robot performs the following steps: observing a movement of an entity in the robot's environment, recording the observed movement using a sensorial data stream and representing the recorded movement in a different task space representations, selecting a subset of the task space representations for the imitation learning and reproduction of the movement to be imitated.
Abstract translation: 本发明提出了一种用于模仿学习机器人的运动的方法，其中机器人执行以下步骤：观察机器人环境中的实体的移动，使用感官数据流记录观察到的移动并将记录的运动表示在 不同的任务空间表示，选择任务空间表示的子集，用于仿制运动的仿制学习和再现。
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2.发明申请公开(公告)号：US20100222924A1
公开(公告)日：2010-09-02
申请号：US12709814
申请日：2010-02-22
Applicant: Michael GIENGER , Manuel MUEHLIG , Jochen STEIL
Inventor： Michael GIENGER , Manuel MUEHLIG , Jochen STEIL
CPC classification number: G05B19/42 , G05B2219/36442
Abstract: The invention proposes a method for imitation-learning of movements of a robot, wherein the robot performs the following steps: observing a movement of an entity in the robot's environment, recording the observed movement using a sensorial data stream and representing the recorded movement in a different task space representations, selecting a subset of the task space representations for the imitation learning and reproduction of the movement to be imitated.
Abstract translation: 本发明提出了一种用于模仿学习机器人的运动的方法，其中机器人执行以下步骤：观察机器人环境中的实体的移动，使用感官数据流记录观察到的移动并将记录的运动表示在 不同的任务空间表示，选择任务空间表示的子集，用于仿制运动的仿制学习和再现。
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