Multiagent robotic systems and exploration algorithms: Applications for data collection in construction sites

被引:5
作者
Prieto, Samuel A. [1 ,4 ]
Giakoumidis, Nikolaos [2 ,3 ]
de Soto, Borja Garcia [1 ]
机构
[1] New York Univ Abu Dhabi NYUAD, Div Engn, SMART Construct Res Grp, Expt Res Bldg, Abu Dhabi, U Arab Emirates
[2] New York Univ Abu Dhabi, KINESIS Lab, Core Technol Platforms, Abu Dhabi, U Arab Emirates
[3] Univ Aegean, Intelligent Syst Lab, Cultural Technol & Commun, Mitilini, Greece
[4] New York Univ Abu Dhabi NYUAD, Div Engn, SMART Construct Res Grp, POB 129188 Expt Res Bldg Saadiyat Isl, Abu Dhabi, U Arab Emirates
关键词
autonomous robot; BIM; construction; 4.0; exploration; multirobot system; navigation; ROS; TEAM;
D O I
10.1002/rob.22316
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
The construction industry has been notoriously slow to adopt new technology and embrace automation. This has resulted in lower efficiency and productivity compared to other industries where automation has been widely adopted. However, recent advancements in robotics and artificial intelligence offer a potential solution to this problem. In this study, a methodology is proposed to integrate multirobotic systems in construction projects with the aim of increasing efficiency and productivity. The proposed approach involves the use of multiple robot and human agents (HA) working collaboratively to complete a construction task. The methodology was tested through a case study that involved 3D digitization of a small, occluded space using two robots and one HA. The results show that integrating multiagent robotic systems (MARS) in construction can effectively overcome challenges and complete tasks efficiently. The implications of this study suggest that MARS could revolutionize the industry.
引用
收藏
页码:1187 / 1203
页数:17
相关论文
共 43 条
[1]  
Andre T, 2014, IEEE GLOBE WORK, P1457, DOI 10.1109/GLOCOMW.2014.7063639
[2]   3D Semantic Parsing of Large-Scale Indoor Spaces [J].
Armeni, Iro ;
Sener, Ozan ;
Zamir, Amir R. ;
Jiang, Helen ;
Brilakis, Ioannis ;
Fischer, Martin ;
Savarese, Silvio .
2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2016, :1534-1543
[3]   The future of construction automation: Technological disruption and the upcoming ubiquity of robotics [J].
Bock, Thomas .
AUTOMATION IN CONSTRUCTION, 2015, 59 :113-121
[4]   A mobile robot based system for fully automated thermal 3D mapping [J].
Borrmann, Dorit ;
Nuechter, Andreas ;
Dakulovic, Marija ;
Maurovic, Ivan ;
Petrovic, Ivan ;
Osmankovic, Dinko ;
Velagic, Jasmin .
ADVANCED ENGINEERING INFORMATICS, 2014, 28 (04) :425-440
[5]   Robot for automatic waste sorting on construction sites [J].
Chen, Xinxing ;
Huang, Huaiyang ;
Liu, Yuxuan ;
Li, Jiqing ;
Liu, Ming .
AUTOMATION IN CONSTRUCTION, 2022, 141
[6]   Additive manufacturing as an enabling technology for digital construction: A perspective on Construction 4.0 [J].
Craveiro, Flavio ;
Duarte, Jose Pinto ;
Bartolo, Helena ;
Bartolo, Paulo Jorge .
AUTOMATION IN CONSTRUCTION, 2019, 103 :251-267
[7]   Autonomous Exploration of Unknown Indoor Environments for High-Quality Mapping Using Feature-Based RGB-D SLAM [J].
Eldemiry, Amr ;
Zou, Yajing ;
Li, Yaxin ;
Wen, Chih-Yung ;
Chen, Wu .
SENSORS, 2022, 22 (14)
[8]   Multirobot systems: A classification focused on coordination [J].
Farinelli, A ;
Locchi, L ;
Nardi, D .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2004, 34 (05) :2015-2028
[9]   Robust Control of Mobility and Communications in Autonomous Robot Teams [J].
Fink, Jonathan ;
Ribeiro, Alejandro ;
Kumar, Vijay .
IEEE ACCESS, 2013, 1 :290-309
[10]  
Gautam Avinash, 2012, 2012 IEEE 7 INT C IN, P1, DOI DOI 10.1109/ICIINFS.2012.6304778