首页> 外文会议>Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on >Expression method of human locomotion records for path planning and control of human-symbiotic robot system based on special existence probability model of humans
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Expression method of human locomotion records for path planning and control of human-symbiotic robot system based on special existence probability model of humans

机译:基于人类特殊存在概率模型的人类共生机器人系统路径规划与控制的人类运动记录表达方法

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In this paper, a novel describing method of human locomotion trajectory record was proposed, and methods of its application to the path planning and control of human-symbiotic mobile robots were indicated. The novel describing method, named as Existence Record Probability Map (abbreviated ERPM hereafter), was generated through the following three steps: 1) measuring human locomotion path using pressure distribution sensor floor, 2) applying a probability potential model of human body to the measured path, and 3) integrating such probability potential maps for some time period. From the ERPM, an existence probability value, ridge lines of the potential, and the Q-value at a point on a ridge line, were elicited. As a usage of these information, methods of finding a position where a collision probability of a mobile robot and a human is high, finding major trajectories of human locomotion, and evaluation of path width to avoid collision with a human, were indicated.
机译:提出了一种新颖的人类运动轨迹记录描述方法,并指出了其在人类共生式移动机器人路径规划与控制中的应用方法。通过以下三个步骤生成了一种新颖的描述方法,称为存在记录概率图(以下简称ERPM):1)使用压力分布传感器底板测量人体运动路径,2)将人体的潜在概率模型应用于被测物体路径,以及3)在一段时间内整合此类潜在概率图。从ERPM中,得出存在概率值,势能的脊线以及在脊线上的点处的Q值。作为这些信息的使用,提出了寻找移动机器人与人的碰撞概率高的位置,寻找人的运动的主要轨迹,以及避免与人的碰撞的路径宽度的评价的方法。

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