首页> 外文会议>IEEE/RSJ International Conference on Intelligent Robots and Systems;IROS 2009 >Composing and coordinating body models of arbitrary connectivity and redundancy: A biomimmetic field computing approach
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Composing and coordinating body models of arbitrary connectivity and redundancy: A biomimmetic field computing approach

机译:组成和协调任意连通性和冗余的人体模型:一种生物模拟场计算方法

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The subjective ease with which we move gracefully in constraint filled uncertain environments often masks the enormously complex integrative apparatus needed to spell synergy among the thousands of sensors, joints, musculo-skeletal units and neuronal populations that contribute to any act's planning and execution. In this paper, we apply the computational framework of passive motion paradigm for task specific composition and coordination of the movements of a limb, network of limbs (e.g. left arm-waist-right arm) or networks of external objects coupled to the body of the 53 degrees of freedom humanoid robot `iCub'. The basic PMP model is further extended by formulation of a pair of branching nodes that allow compositionality and transfer of force fields from one relaxation network to another. The generality of the proposed approach is further illustrated using simulations of whole body reaching (WBR) tasks from a quiet standing posture that recruits virtually all the joints of the upper limbs, lower limbs, and trunk, binding together a large number of degrees of freedom into a functional unit that combines a focal task (reaching a target with the hand) and a postural task (keeping the projection of the center of mass within the bipedal support area). Preliminary comparisons of the solutions generated by the computational model with the movements of human subjects performing similar WBR tasks are presented.
机译:我们在充满约束的不确定环境中优雅地移动的主观轻松性通常掩盖了在数千个传感器,关节,肌肉骨骼单元和神经元群体之间产生协同作用所需的极其复杂的整合装置,这些因素有助于任何行为的计划和执行。在本文中,我们将被动运动范式的计算框架应用于特定任务的组成和肢体,肢体网络(例如,左臂-腰-右臂)的运动或耦合到肢体的外部对象的网络的协调。 53自由度的类人机器人“ iCub”。基本的PMP模型通过制定一对分支节点进一步扩展,该分支节点允许组成性和力场从一个松弛网络到另一个松弛网络的传递。拟议方法的通用性通过从安静的站立姿势模拟全身伸张(WBR)任务得到进一步说明,该姿势几乎招募了上肢,下肢和躯干的所有关节,将许多自由度绑定在一起组合成一个功能单元,该功能单元将焦点任务(用手达到目标)和姿势任务(保持重心在双足支撑区域内的投影)组合在一起。初步比较了由计算模型生成的解与执行类似WBR任务的人类对象的运动。

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