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Characteristics of learning and sensory dimension in two-mobile robots system

机译:两机器人系统的学习感官维度特征

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We investigate quantitatively the characteristics of relationships between learning and the sensory dimension. In the task of a two-mobile robotic system composed of a driving body and 1-DOF prismatic arm, carrying a long bar horizontally along a sinusoidal wavy road while keeping the bar-support length constant, a sensory-motor coordination is acquired by the reinforcement learning. We find the following results: when the two-mobile robotic system executes the task, a cooperative behavior performed by the forward and backward locomotions is needed, and we find 8 sensory dimensions that are necessary and sufficient in perception of the state for the robotic system. The sensory contribution rate of each sensory dimension for the perception of the robotic state is defined. Also, the two-mobile robotics system which is only equipped with sensors of large sensory contribution rate, can acquire the robotic control for the cooperative behavior of forward and backward locomotions by the online learning.
机译:我们定量研究学习和感觉维度之间的关系的特征。在由驱动主体和1-DOF棱形臂组成的两人机器人系统的任务中,在保持杆支撑长度不变的情况下,沿着正弦波状波浪线水平携带一条长杆,从而获得感官运动协调性。强化学习。我们发现以下结果:当两人机器人系统执行任务时,需要由向前和向后运动执行的协作行为,并且我们发现8个感官维度对于感知机器人系统的状态是必要的和充分的。定义了用于感知机器人状态的每个感觉维度的感觉贡献率。而且,仅配备有较大感官贡献率的传感器的两机动机器人系统可以通过在线学习获得用于向前和向后运动的协作行为的机器人控制。

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