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Statistical Characteristics of Biomimetic Image-Based Inverted Pendulum Control Systems Using Just-In-Time Method

机译:基于仿生方法的仿生图像倒立摆控制系统的统计特性

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In attempting to statistically answer the question, "In what ways should robots attempt or imitate humanlike behavior?" We focus on a human stick-balancing task and a biomimetic visual servoing system for the stabilization of an inverted pendulum. In particular, we applied proportional and differential (PD) and Just-In-Time (JIT) control, which is a memory-based scheme. This method can stabilize the inverted pendulum for a certain period of time, similar to the case of humans. We analyzed the behavior of such mechanical systems statistically to determine the on-off intermittency and the power law in the human stick-balancing task. Statistically analyzing pendulum behavior may enable us to interpret human motor control.
机译:在尝试以统计学方式回答以下问题时:“机器人应以什么方式尝试或模仿人类行为?”我们专注于人体摇杆平衡任务和仿生视觉伺服系统,用于稳定倒立摆。特别是,我们应用了比例和微分(PD)和即时(JIT)控制,这是一种基于内存的方案。与人类的情况类似,该方法可以使倒立摆稳定一段时间。我们统计地分析了此类机械系统的行为,以确定在人体平衡控制任务中的开-关间歇性和功率定律。统计分析摆的行为可能使我们能够解释人的运动控制。

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