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Lifting Objects with Power-Assist: Weight-Perception-Based Force Control Concepts to Improve Maneuverability

机译:提升电源辅助:基于体重的力量控制概念,以提高机动性

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We developed a 1-DOF power assist robot system to lift objects of different sizes by human subjects. We adopted a hypothesis that weight perception due to inertia might be different from that due to gravity when lifting an object with a power assist robot because the human feels a difference between the actual weight and the perceived weight of the object. We included this hypothesis in the robot dynamics. We then discussed the suitability offeree control for the robot for lifting objects and developed several weight-perception-based force control strategies. These force control strategies may be compared to previously developed position control strategies, and the comparison results may help determine appropriate control for the robot to achieve desired maneuverability. The results, as a whole, may help develop human-friendly power assist devices to handle heavy objects in various industries.
机译:我们开发了一款1-DOF功率辅助机器人系统,以通过人类受试者提升不同尺寸的物体。我们采用了一个假设,即由于升降物体用功率辅助机器人提升物体时,由于人体感觉到物体的实际重量和感知重量之间的差异,因此由于重力而导致的重量感知可能与重力引起的。我们在机器人动态中包含了这一假设。然后,我们讨论了用于升降物体的机器人的适用性偏好控制,并开发了几种基于重量感知的力控制策略。这些力控制策略可以与先前开发的位置控制策略进行比较,并且比较结果可以帮助确定对机器人的适当控制,以实现所需的机动性。总的来说,结果可以帮助开发人类友好的动力辅助设备,以处理各种行业的重物。

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