Collision Detection of Industrial Automation

Jhe-Wei Lin, Cheng-Yan Siao, Chia-Hsuan Lin, Rong-Guey Chang
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Abstract

At present, most anti-collision mechanisms use graphics processing unit (GPU) for operations and object simulations are drawn using polygonal meshes. However, their costs are always very high. Therefore, we propose a novel approach to improve the anti-collision mechanism for robotic arms. We apply the octree algorithm to decompose the object model and cooperate with the Bounding Box technology to form the object into a covering box. In this manner, the computation space will be reduced and simplify the calculation of the anti-collision. Finally, the proposed work has been implemented on Rhino to construct a simulation system for industrial manufacturing production lines.
工业自动化碰撞检测
目前,大多数防碰撞机制使用图形处理单元(GPU)进行操作,物体模拟使用多边形网格绘制。然而,他们的成本总是非常高。因此,我们提出了一种改进机械臂防撞机构的新方法。我们采用八叉树算法对对象模型进行分解,并配合Bounding Box技术将对象形成一个覆盖盒。这样可以减少计算空间,简化防碰撞的计算。最后,在Rhino上实现了所提出的工作,构建了工业制造生产线的仿真系统。
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