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Recent progress on tactile object recognition

机译:触觉对象识别的最新进展

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摘要

Conventional visual perception technology is subject to many restrictions, such as illumination, background clutter, and occlusion. Many intrinsic properties of objects, like stiffness, hardness, and internal state, cannot be effectively perceived by visual sensors. For robots, tactile perception is a key approach to obtain environmental and object information. Different from vision sensors, tactile sensors can directly measure some physical properties of objects and environment. At the same time, humans also utilize touch sensory receptors as an important means to perceive and interact with the environment. In this article, we present a detailed discussion on tactile object recognition problem. We divide the current studies on the tactile object recognition into three subcategories and detailed analysis has been put forward on them. In addition, we also discuss some advanced topics such as visual-tactile fusion, exploratory procedure, and data sets.
机译:传统的视觉感知技术受许多限制,例如照明,背景杂乱和闭塞。 目视传感器不能有效地感知物体的许多内在特性,如刚度,硬度和内部状态。 对于机器人来说,触觉感知是获得环境和对象信息的关键方法。 不同于视觉传感器,触觉传感器可以直接测量物体和环境的一些物理性质。 同时,人类还利用触摸感受器作为感知和与环境相互作用的重要手段。 在本文中,我们对触觉对象识别问题进行了详细的讨论。 我们将目前对三个子类别的触觉物体识别的研究分开,并提出了详细的分析。 此外,我们还讨论了一些先进的主题,如视觉触觉融合,探索程序和数据集。

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