【作者】 张烨； 阿美娜； 许蓁；

【Author】 Zhang Ye;A Meina;Xu Zhen;School of Architecture,Tianjin University;

【机构】 天津大学建筑学院；

【摘要】 随着数控技术和离线编程技术的飞速发展,工业机器人被广泛地运用在数字建造项目中。然而,目前机器人更多的是作为输出端使用,即按照事先预定好的指令进行加工和装配等动作,并没有将建造现场的信息反馈到决策生成中,缺乏灵活性和适应性。在此背景下,本研究研发了机器人"感知—反馈"系统,使机器人能够读取建造现场的信息数据,并根据数据优化形式设计、生成装配路径,从而形成完整的"输入(感知)—处理(计算)-输出(动作)"数字链。基于该"感知—反馈"系统,天津大学建筑学院完成了"基于机器人视觉识别技术的自适应鸟巢"建构项目,实现了机器人对建造现场材料信息的感知,使其能够因材制宜地进行设计和自主建造。更多还原

【Abstract】 Advance in numerical control technique and off-line programming technology have enabled industry robots to be widely used in digital fabrication projects.However,robot is still prone to be used as an output end,its operations are dominated using predefined geometric models.This hinders the flexibility and adaptability of digital construction.Under this background,this study proposes a new robotic "perception-feedback"system,it enables robot read and transmit data,hence information on site can be timely and effectively fed back to the design and construction stages and factor in decision-making process.This system realizes a continuous "input(perception)-processing(calculation)-output(action)" digital chain.Based on the "perceptionfeedback" system,Architecture Department of Tianjin University completes the project "Adaptive Bird’s Nest based on Robotic Material Sensing".In this project,robotic perceives source material information,and incorporates the data into computational design and digital construction.更多还原