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Control of movement time and sequential action through attractor dynamics : a simulation study demonstrating object interception and coordination

机译:通过吸引子动力学控制运动时间和顺序动作:演示模拟对象拦截和协调的研究

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摘要

The timing of movements and of action sequences is difficult when on-line coupling to sensory information is a requirement. That requirement arises in most behavior-based robot architectures, in which relatively low-level and often noisy sensor input is used to initiate and steer action. We show how an attractor dynamics approach to the generation of behavior in such architectures can be extended to the timing of motor acts. We propose a two-layer architecture, in which a competitive "neural" dynamics controls the qualitative dynamics of a second, "timing" layer.At that second layer, periodic attractors generate timed movement. By activating such limit cycles over limited time intervals, discrete movements and movement sequences can be obtained. We demonstrate the approach by simulatingtwo tasks that involve control of timing: the interception of moving objects by a simple two-degree-of-freedom robot arm and the temporal coordination of the end-effector motions of two six-degree-of-freedom robot arms.
机译:当需要在线耦合到感官信息时,运动和动作序列的定时是困难的。在大多数基于行为的机器人体系结构中都出现了这种要求,在这种体系结构中,使用相对较低级别且通常带有噪声的传感器输入来启动和操纵动作。我们展示了如何在这种体系结构中将吸引子动力学方法用于行为生成,并将其扩展到运动行为的时机。我们提出了一个两层体系结构,其中竞争性的“神经”动力学控制第二个“定时”层的定性动力学。在第二层,周期性吸引子生成定时运动。通过在有限的时间间隔内激活这种极限循环,可以获得离散的运动和运动顺序。我们通过模拟两个涉及时间控制的任务来演示该方法:通过简单的两自由度机器人手臂拦截运动对象,以及两个六自由度机器人的末端执行器运动的时间协调武器。

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