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Apparent Volitional Behavior Selection Based on Memory Predictions

机译:基于记忆预测的表观自愿行为选择

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Volitional movement is a hallmark for human behavior. How such well-intended concatenation of behaviors is achieved remains, however, elusive. In the present study, we hypothesized that visual memory of past motion trajectories may be used for selecting future behavior. Based on our memory prediction hypothesis, we designed motor planning experiments that generate new path when given a fixed goal by using only visual memories of past motor trajectories. We conducted simulation experiments and applied the motion planning algorithm for a humanoid robot. The results of our studies suggest that new motor trajectory for a fixed goal can be generated on learned visual memories of past behaviors.
机译:自愿运动是人类行为的标志。然而,如何实现这种预期的行为级联仍然难以捉摸。在本研究中,我们假设过去的运动轨迹的视觉记忆可用于选择未来的行为。基于我们的记忆预测假设,我们设计了运动计划实验,当给定固定目标时,将仅使用过去运动轨迹的视觉记忆来生成新路径。我们进行了仿真实验,并将运动规划算法应用于人形机器人。我们的研究结果表明,可以根据对过去行为的学习视觉记忆来生成针对固定目标的新运动轨迹。

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