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基于多传感器融合的抓取控制研究
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Research on Grasping Control Based on Multi-sensor Fusion
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    针对现有抓取系统中双目视觉定位精度较差,易受环境影响,使得抓取的成功率较低,鲁棒性不强的现象,本文提出采用视觉、红外测距传感器、触觉传感器和编码器等多传感器数据融合的方法,设计并实现了一种可靠的、鲁棒性强的、能自动调整抓取力的抓取系统.通过双目视觉辅以单目相机和红外测距传感器来精确定位,改善抓空情况;通过集成触觉传感器和编码器,对抓取过程中的力-位进行实时监测,减少目标物体破碎和滑落的现象,并通过实验证明了相对于单传感器,多传感器数据融合能大大改善抓取的成功率,提高系统的性能.

    Abstract:

    The location precision by binocular camera sensitive to environment is not high, thus the grasping success rate and robustness are not sound in the existing grasping system. And in order to overcome this problem, this paper proposed a method of fusing vision of infrared sensors, tactile sensors and encoders, which can realize a reliable, robust system capable of adjusting grip force automatically. In order to avoid the situation of grasping-nothing, binocular camera coupled with monocular camera and infrared sensors were used to locate precisely. By integrating tactile sensors and encoders, and adding monitoring force and position information in the process of grasping, the phenomena of broken and slippage of the object were reduced to a great extent. The experiments demonstrate that the grasping success rate and the system performance are greatly improved by fusing multi-sensor data compared with signal sensor.

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谭建豪,宋彩霞,张俊 ,胡颖.基于多传感器融合的抓取控制研究[J].湖南大学学报:自然科学版,2012,39(12):50~55

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