基于无碰撞 EMD 网操纵规划的连接器端接电缆布线

IF 4.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Robotics and Autonomous Systems Pub Date : 2024-03-02 DOI:10.1016/j.robot.2024.104673
Kimitoshi Yamazaki , Kyoto Nozaki , Yuichiro Matsuura , Solvi Arnold
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引用次数: 0

摘要

在本文中,我们提出了一种在组装电器等过程中进行电缆布线的操纵规划方法。在这种情况下,机器人需要抓取连接到电缆末端的连接器,并将连接器带到插座上。为了自动完成这一任务,我们提出了一种新颖的操纵规划方法。该方法扩展了编码-操纵-解码网络(EMD 网络),可预测可变形物体的形状变化,并生成机器人运动序列,以实现所需的形状转换。这样,我们就能找到避免电缆与周围环境发生碰撞的连接器轨迹。我们用几种不同长度的电缆进行了实验。我们还引入了现实世界布线所需的一些功能,如在线电缆形状修改。实验结果表明,所提出的方法可以实现对真实电缆的稳定操控。
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Wiring connector-terminated cables based on manipulation planning with collision-free EMD net

In this paper, we propose a manipulation planning method for cable wiring in the assembly of electric appliances etc. We address a scenario where a robot grasps a connector attached to the end of a cable and has to bring the connector to a socket. To accomplish this automatically, we propose a novel manipulation planning method. The method extends the Encode-Manipulate-Decode network (EMD net), which can predict shape changes of deformable objects and generate robot motion sequences for producing desired shape transitions. This enables us to find connector trajectories that avoid collision between the cable and the surrounding environment. We conducted experiments with several different cable lengths. We also introduce some functions required for real-world wiring, such as online cable shape modification. Experimental results show that the proposed method can achieve stable manipulation of real cables.

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来源期刊
Robotics and Autonomous Systems
Robotics and Autonomous Systems 工程技术-机器人学
CiteScore
9.00
自引率
7.00%
发文量
164
审稿时长
4.5 months
期刊介绍: Robotics and Autonomous Systems will carry articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems. Robotics and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems.
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