用于水下三角洲机器人快速捕捉海鲜的快速视觉伺服系统

Maosheng Yang, Lin Xiao, Ce Chen, Yangyi Hu, Yi Sun, Huayan Pu, Wenchuan Jia
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引用次数: 0

摘要

本文提出并设计了一种用于快速抓取海鲜的水下三角洲机器人。首先,详细介绍了机器人的硬件结构。然后,提出了一种用于该水下三角洲机器人快速抓取的视觉伺服控制方法。该方法能够实时生成径向轨迹,从而根据机器人身体的摇摆和被抓物体的运动来实现抓取。在实际抓取测试中,移动平台和从动臂可能会遮挡目标,导致目标位置信息丢失。因此,我们提出了一种位置预测方法,以预测发生遮挡时被抓取物体的位置,从而提高抓取成功率,确保机器人轨迹平稳。最后,我们进行了多次陆地和水下实验,取得了良好的效果,验证了机器人结构和算法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast Visual Servo for Rapidly Seafood Capturing of Underwater Delta Robots
In this paper, we propose and design an underwater delta robot for fast seafood grasping. First, the hardware structure of the robot is described in detail. After that, a visual servo control method for fast catching of this underwater delta robot is proposed. The method is able to generate real-time radial trajectories so as to realize the catching based on the swaying of the robot body as well as the movement of the object to be caught. In the actual grasping test, the moving platform and the slave arm can occlude to the target resulting in the loss of target position information. Therefore, we propose a position prediction method to predict the position of the grasped object when occlusion occurs, thus improving the success rate of grasping and ensuring a smooth robot trajectory. Finally, several land and underwater experiments were conducted with good results, which verified the feasibility of the robot structure and algorithm.
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