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Semi-anthropomorphic 3D printed multigrasp hand for industrial and service robots

机译:适用于工业和服务机器人的半拟人3D打印多抓手

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This paper presents the preliminary prototype design and implementation of the Nazarbayev University (NU) Hand, a new semi-anthropomorphic multigrasp robotic hand. The hand is designed to be an end effector for industrial and service robots. The main objective is to develop a low-cost, low-weight and easily manufacturable robotic hand with a sensor module allowing acquisition of data for autonomous intelligent object manipulation. 3D printing technologies were extensively used in the implementation of the hand. Specifically, the structure of the hand is printed using a 3D printer as a complete assembly voiding the need of using fasteners and bearings for the assembly of the hand and decreasing the total weight. The hand also incorporates a sensor module containing a LIDAR, digital camera and non-contact infrared temperature sensor for intelligent automation. As an alternative to teach pendants for the industrial manipulators, a teaching glove was developed, which acts as the primary human machine interface between the user and the NU Hand. The paper presents an extensive performance characterization of the robotic hand including finger forces, weight, audible noise level during operation and sensor data acquisition.
机译:本文介绍了Nazarbayev大学(NU)的手的初步原型设计和实现,该手是一种新型的半拟人化多握式机器人手。该手被设计为工业和服务机器人的末端执行器。主要目标是开发一种带有传感器模块的低成本,轻便且易于制造的机械手,该传感器模块允许采集数据以进行自主智能对象操作。 3D打印技术被广泛应用于手的实施中。具体地,使用3D打印机作为完整的组件来打印手的结构,从而无需使用用于手的组件的紧固件和轴承,并且减少了总重量。指针还集成了一个传感器模块,该模块包含激光雷达,数码相机和用于智能自动化的非接触式红外温度传感器。作为用于工业机械手的示教器吊坠的替代方法,开发了一种示教手套,该手套用作用户和NU Hand之间的主要人机界面。本文介绍了机械手的广泛性能特征,包括手指力,重量,操作过程中的可听噪声级以及传感器数据采集。

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