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Robot Choreography: The Use of the Kinetography Laban System to Notate Robot Action and Motion

机译:机器人编排:动动拉班系统用于记录机器人的动作和运动

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Roboticists aim to segment robot actions into a sequence of motion primitives to simplify the robot programming phase. Choreographers aim to capture the essence of human body movements within a sequence of symbols that can be understood by dancers. To that extent, roboticists and choreographers pursue the same quest. We have undertaken a pluridisciplinary approach, combining a dance notation system (the Kinetography Laban system) with a robot programming system [the Stack of Task (SoT)]. Motion scores are used instead of quantitative data to compare and enlighten differences in robot and human movements. We then discuss plausible origins of these differences, taking into account the implicit rules of the Kinetography Laban system on how a movement is executed by humans. This comparison, in the light of the Kinetography Laban system, opens some challenging questions related to motion segmentation and motion naturalness.
机译:机器人专家旨在将机器人动作分成一系列运动原语,以简化机器人编程阶段。编舞的目的是通过舞蹈演员可以理解的一系列符号来捕捉人体运动的本质。在这种程度上,机器人专家和编舞者追求的目标是相同的。我们采取了多学科的方法,将舞蹈记谱系统(动感拉本系统)与机器人编程系统[任务堆栈(SoT)]相结合。使用运动得分代替定量数据来比较和启发机器人和人类运动的差异。然后,我们考虑到动因Laban系统关于人类如何执行运动的隐含规则,讨论了这些差异的合理根源。根据动描拉本系统,这种比较提出了一些与运动分割和运动自然性有关的挑战性问题。

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