基于cad的航空线束制造机器人编程解决方案

IF 2.9 Q2 ROBOTICS

Robotics Pub Date : 2023-09-14 DOI:10.3390/robotics12050130

Javier González Huarte, Maite Ortiz de Zarate, Aitor Ibarguren

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引用次数: 0

摘要

航空领域的线束制造是高度手工工作，生产由多个参考和小批量定义。虽然生产过程的完全自动化是不可行的，但机器人辅助的方法可以提高现有生产手段的效率。本文提出了一种新型的双臂机器人解决方案，用于线束制造初期的工作台配置和电缆布线。该框架基于线束的CAD信息，实时生成轨迹以完成初始制造任务，并在两个机器人之间自动划分整个任务。所提出的方法已在使用不同线束参考的生产环境中进行了验证，获得了令人满意的结果和指标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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CAD-Based Robot Programming Solution for Wire Harness Manufacturing in Aeronautic Sector

Wire harness manufacturing in the aeronautic sector is highly manual work, with production defined by multiple references and small batches. Although complete automation of the production process is not feasible, a robot-assisted approach could increase the efficiency of the existing production means. This paper presents a novel dual-arm robotic solution for workbench configuration and cable routing during the initial steps of wire harness manufacturing. Based on the CAD information of the wire harness, the proposed framework generates trajectories in real-time to complete the initial manufacturing tasks, dividing automatically the whole job between both robots. The presented approach has been validated in a production environment using different wire harness references, obtaining promising results and metrics.

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来源期刊

Robotics Mathematics-Control and Optimization

CiteScore

6.70

自引率

8.10%

发文量

114

审稿时长

11 weeks

期刊介绍： Robotics publishes original papers, technical reports, case studies, review papers and tutorials in all the aspects of robotics. Special Issues devoted to important topics in advanced robotics will be published from time to time. It particularly welcomes those emerging methodologies and techniques which bridge theoretical studies and applications and have significant potential for real-world applications. It provides a forum for information exchange between professionals, academicians and engineers who are working in the area of robotics, helping them to disseminate research findings and to learn from each other’s work. Suitable topics include, but are not limited to: -intelligent robotics, mechatronics, and biomimetics -novel and biologically-inspired robotics -modelling, identification and control of robotic systems -biomedical, rehabilitation and surgical robotics -exoskeletons, prosthetics and artificial organs -AI, neural networks and fuzzy logic in robotics -multimodality human-machine interaction -wireless sensor networks for robot navigation -multi-sensor data fusion and SLAM