建筑信息建模
机器人
任务(项目管理)
计算机科学
人机交互
信息模型
构造(python库)
人工智能
系统工程
软件工程
工程类
程序设计语言
化学工程
相容性(地球化学)
作者
Kyungki Kim,Matthew Peavy
标识
DOI:10.1016/j.autcon.2022.104247
摘要
From its internal representation of a building, or, its building world, a robot can retrieve a building's information for task planning and execution. However, a building is a complex construct composed of thousands of sub-elements, therefore manually programming the complete lifecycle information in a robot can be impractical. Our study presents the creation of a semantic building world from a building information model (BIM) that can be used for robot operations. To describe static and dynamic elements, we create a Universal Robot Description Format (URDF) building world using the Industry Foundation Classes (IFC) that a robot can directly query information for task planning and execution. As the case study demonstrates, our study bridges the gap between BIM's lifecycle information and robot operations. By allowing robots to acquire information about operating environments, the proposed methodologies provide the foundation for studies attempting task robotization in different types of facilities throughout their lifecycles.
科研通智能强力驱动
Strongly Powered by AbleSci AI