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Design of Bipolar Plate Grabbing Manipulator Based on Visual Guidance

机译:基于视觉指导的双极板抓斗操纵器设计

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In order to improve the intelligent degree of the manipulator and facilitate the grasping of the electrode plate in the simulation experiment, a 3-DOF intelligent handling manipulator is designed based on the Open MV camera for visual guidance. The manipulator is made by 3D printing technology, connected by a steering gear, and controlled by STM32F103ZET6 chip. It has the characteristics of simple control and diversification. In order to ensure the stability and accuracy of the control, the robot arm action is set as the required action, and the Open MV camera is used for visual guidance. Foam rubber is used to fix the silicone anti-slip pad inside the paw, so as to further enhance the stability of the object when it is grabbed. Through the mechanical analysis of the manipulator claw, the best design scheme of the hand claw is determined. In order to realize the lightweight of the manipulator arm, the mechanical analysis of different steering gear is carried out to verify its feasibility. The research shows that, compared with the traditional manipulator, the mechanism has a higher degree of intelligence, stability and accuracy, and can meet the practical application requirements.
机译:为了改善操纵器的智能程度并促进仿真实验中的电极板的抓握,基于开放式MV摄像机设计了3-DOF智能处理机械手,以进行视觉指导。操纵器由3D打印技术,由转向齿轮连接,并由STM32F103Zet6芯片控制。它具有简单控制和多样化的特点。为了确保控制的稳定性和准确性,机器人臂动作被设定为所需的动作,并且打开的MV摄像机用于视觉指导。泡沫橡胶用于将爪内的硅树脂防滑垫固定在爪内,以便在抓住时进一步增强物体的稳定性。通过机械手爪的力学分析,确定了手爪的最佳设计方案。为了实现操纵器臂的轻质,进行了不同转向齿轮的力学分析以验证其可行性。该研究表明,与传统机械手相比,该机制具有更高程度的智能,稳定性和准确性,并且可以满足实际应用要求。

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