Toward Fingertip Non-Contact Material Recognition and Near-Distance Ranging for Robotic Grasping

Toward Fingertip Non-Contact Material Recognition and Near-Distance Ranging for Robotic Grasping
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用于机器人抓取的指尖非接触式材料识别和近距离测距

DOI:
10.1109/icra.2019.8793922
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发表时间:
2019
期刊:
2019 International Conference on Robotics and Automation (ICRA
影响因子:
--
通讯作者:
Zou, Jun
Zou, Jun
中科院分区:
--
文献类型:
--
作者:
Fang, Cheng;Wang, Di;Song, Dezhen;Zou, Jun

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我们报告的可行性研究,一种新的声学和光学双模距离和材料传感器的机器人抓取。新的传感器被设计安装在机器人指尖上,以提供接触发生前的最后一刻感知。它基于脉冲回波超声和光声效应,由单元件空气耦合换能器实现。与传统的基于接触的方法和最近的预触摸方法相比,这种新方法克服了它们的缺点,并为机器人手指提供了在接触发生之前在近距离处检测目标的距离和材料类型的能力,这对于鲁棒和灵活的抓取至关重要。所提出的传感器已经过测试,不同的材料,形状和多孔性。实验结果表明,该传感器设计具有一定的实用性。
We report the feasibility study of a new acoustic and optical bi-modal distance & material sensor for robotic grasping. The new sensor is designed to be mounted on the robot fingertip to provide last-moment perception before contact happens. It is based on both pulse-echo ultrasound and optoacoustic effects enabled by single-element air-coupled transducers. In contrast to conventional contact-based and recent pre-touch approaches, this new method overcomes their disadvantages and provides robotic fingers with the capability to detect the distance and material type of the target at a near distance before contact occurs, which is crucial for robust and nimble grasping. The proposed sensor has been tested with different materials, shapes, and porous properties. The experimental results show that this sensor design is functional and practical.
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