A real-time A* algorithm for trajectories generation and collision avoidance in uncertain environments for assembly applications

IF 6.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Industrial Engineering Pub Date : 2025-04-01 Epub Date: 2025-02-15 DOI:10.1016/j.cie.2025.110959
Ahmed Nhouchi , Salma Ben Said , Mohamed Amine Ben Abdallah , Nizar Aifaoui
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Abstract

In assembly processes, generating paths and avoiding collisions are crucial for efficiency and safety. This paper presents a novel approach that integrates the A* pathfinding (PF) algorithm into FreeCAD, an open-source Computer-Aided Design (CAD) platform. The main contribution of this work is enabling PF and collision detection directly within the CAD environment during the design phase, helping detect potential collisions early and improving the design process. The A* algorithm has been adapted to handle both static and dynamic obstacles inside FreeCAD. This integration allows for better planning of paths in complex assembly environments. The integration process, algorithm modifications and system functionality are described in detail. A case study simulating an assembly line demonstrates the algorithm’s effectiveness in generating collision-free trajectories while adapting to dynamic changes in the environment. This work paves the way for further advancements in AI-driven CAD systems for industrial applications, enabling more intelligent and adaptive assembly processes during the design phase.
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装配应用中不确定环境下轨迹生成与避碰的实时A*算法
在装配过程中,路径生成和避免碰撞对效率和安全性至关重要。本文提出了一种将a *寻径(PF)算法集成到开源计算机辅助设计(CAD)平台FreeCAD中的新方法。这项工作的主要贡献是在设计阶段直接在CAD环境中实现PF和碰撞检测,帮助及早发现潜在的碰撞并改进设计过程。A*算法已适应处理静态和动态障碍在FreeCAD。这种集成允许在复杂的装配环境中更好地规划路径。详细描述了集成过程、算法修改和系统功能。一个模拟装配线的案例研究证明了该算法在产生无碰撞轨迹的同时适应环境的动态变化的有效性。这项工作为工业应用中人工智能驱动的CAD系统的进一步发展铺平了道路,在设计阶段实现了更智能和自适应的装配过程。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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