Interaction in robotics with a combination of vision, tactile and force sensing

A. del Pobil, M. Prats, P. Sanz
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引用次数: 2

Abstract

Human dexterity relies on the simultaneous use of three perceptual modalities: vision, tactile and force. Existing robotic systems are still very far from humans in terms of their manipulation skills. This fact can be partly accounted for by a lack of integrated multimodal approaches to the problem. We present our research on the combination of vision, tactile and force sensing for manipulation with robotic hands, as part of our FPI approach the Framework for Physical Interaction, in which a grasp and a task are concurrently planned. A visual servoing loop is used to control the hand for task execution, which we combine with a tactile control signal, as well as an impedance force controller. The task can be performed even if a sensor is not available or provides inaccurate data. A number of experiments are reported for comparing the results of the integrated trimodal controller. Results show that it outperforms the bimodal or single-sensor approaches.
结合视觉、触觉和力感的机器人交互
人类的灵巧依赖于同时使用三种感知方式:视觉、触觉和力。现有的机器人系统在操作技能方面与人类还相差甚远。这一事实的部分原因是缺乏解决这一问题的综合多模式方法。我们介绍了我们对机器人手操作的视觉,触觉和力感结合的研究,作为我们的FPI方法的一部分物理交互框架,其中抓取和任务同时规划。视觉伺服回路用于控制手执行任务,我们将其与触觉控制信号以及阻抗力控制器相结合。即使传感器不可用或提供不准确的数据,也可以执行该任务。为了比较集成三模控制器的结果,报道了一些实验。结果表明,该方法优于双峰或单传感器方法。
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