FVSight: A Novel Multimodal Tactile Sensor for Robotic Object Perception

Pengwen Xiong, Yifan Yin
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Abstract

Haptic perception is an important capability for robots to perform tasks in unknown environments, but existing haptic sensors focus on the fingertips of the robot, making the sensing area of the sensor limited, and only one haptic modality can be collected with one sensory layer. In this paper, we propose a multimodal tactile sensor, the FVSight, that is based on a distributed flexible tactile sensing array for daily objects. The sensor is fixed at the end of the robotic arm and touches the object under test by pressing, which can collect both tactile image and force-tactile array information of the object using one perceptual layer. Meanwhile, spatially, the visual contact area of the sensor when pressing the object is the same as the tactile contact area, and temporally, the two heterogeneous tactile modal information is collected simultaneously, which effectively solves the problem of weak pairing of visual-tactile information in conventional tactile sensors. We also use extensive experiments to demonstrate the great potential of the FVSight sensor in the direction of robotic object perception.
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FVSight:用于机器人物体感知的新型多模态触觉传感器
触觉感知是机器人在未知环境中执行任务的重要能力,但现有的触觉传感器主要集中在机器人的指尖,使得传感器的感知区域有限,一个感觉层只能采集一种触觉模态。在本文中,我们提出了一种基于分布式柔性触觉传感阵列的多模态触觉传感器FVSight。传感器安装在机械臂末端,通过按压接触被测物体,通过一个感知层采集被测物体的触觉图像和力-触觉阵列信息。同时,在空间上,传感器按压物体时的视觉接触区域与触觉接触区域是一致的,在时间上,同时采集了两种异构的触觉模态信息,有效地解决了传统触觉传感器中视觉-触觉信息弱配对的问题。我们还使用大量的实验来证明FVSight传感器在机器人物体感知方向上的巨大潜力。
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