Layout modelling of the built environment for autonomous mobile robots using Building Information Modelling (BIM) and simulation

Gareth Byers, SeyedReza RazaviAlavi
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Abstract

Robotics is a fast-growing technology in the construction industry, particularly in off-site construction and Modern Methods of Construction (MMC). Recent advancements in technologies have made robots more intelligent and capable of autonomously undertaking tasks. Navigation of the robots in the built environment requires analysis of robots’ sensor data, which is computationally sophisticated and time consuming. Modeling the layout of the built environment using BIM and simulation can reduce the computational burden of the sensor data analysis. This research aims to develop a method to transfer the geometry data from BIM models to virtual robots in the simulation environment, and provide the robots with priori knowledge about the built environment. This method is simple-to-use and can enhance robot navigation in terms of accuracy and efficiency. The method was implemented in a case study to demonstrate its usefulness and practicality.
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利用建筑信息模型(BIM)和仿真技术对自主移动机器人的建筑环境进行布局建模
机器人技术在建筑行业是一项快速发展的技术,特别是在非现场施工和现代施工方法(MMC)方面。最近的技术进步使机器人更加智能,能够自主完成任务。机器人在建筑环境中的导航需要对机器人的传感器数据进行分析,这在计算上是复杂且耗时的。利用BIM和仿真技术对建筑环境的布局进行建模,可以减少传感器数据分析的计算负担。本研究旨在开发一种方法,将BIM模型中的几何数据传递给仿真环境中的虚拟机器人,并为机器人提供关于建筑环境的先验知识。该方法操作简单,可以提高机器人导航的精度和效率。通过实例验证了该方法的有效性和实用性。
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