2016 ◽  
Vol 8 (3) ◽  
pp. 168781401663680 ◽  
Author(s):  
Jixin Wang ◽  
Zhiyu Yang ◽  
Shaokang Liu ◽  
Qingyang Zhang ◽  
Yunwu Han

2016 ◽  
Vol 34 (7) ◽  
pp. 1393-1402 ◽  
Author(s):  
Mehrdad Arashpour ◽  
Ron Wakefield ◽  
E.W.M. Lee ◽  
Ricky Chan ◽  
M. Reza Hosseini
Keyword(s):  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sara Gusmao Brissi ◽  
Oscar Wong Chong ◽  
Luciana Debs ◽  
Jiansong Zhang

PurposeThe purpose is two-fold: (1) to explore the interactions of robotic systems and lean construction in the context of offsite construction (OC) that were addressed in the literature published between 2008 and 2019 and (2) to identify the gaps in such interactions while discussing how addressing those gaps can benefit not only OC but the architecture, engineering and construction (AEC) industry as a whole.Design/methodology/approachFirst, a systematic literature review (SLR) identified journal papers addressing the interactions of automation and lean in OC. Then, the researchers focused the analysis on the under-researched subtopic of robotic systems. The focused analysis includes discussing the interactions identified in the SLR through a matrix of interactions and utilizing literature beyond the previously identified articles for future research directions on robotic systems and lean construction in OC.FindingsThe study found 35 journal papers that addressed automation and lean in the context of OC. Most of the identified literature focused on interactions of BIM and lean construction, while only nine focused on the interactions of robotic systems and lean construction. Identified literature related to robotic systems mainly addressed robots and automated equipment. Additional interactions were identified in the realm of wearable devices, unmanned aerial vehicles/automated guided vehicles and digital fabrication/computer numerical control (CNC) machines.Originality/valueThis is one of the first studies dedicated to exploring the interactions of robotic systems and lean construction in OC. Also, it proposes a categorization for construction automation and a matrix of interactions between construction automation and lean construction.


Author(s):  
David G. Alciatore

Abstract This paper presents the development and simulation results of a Heuristic Application-Specific Path Planner (HASPP) that can be used to automatically plan trajectories for a manipulator operating around obstacles. Since the implementation of HASPP is inherently application-specific due to dependence on heuristics, the application of HASPP to an eight degree of freedom Pipe Manipulator is presented as an illustrative example. This development and simulation was implemented on a Silicon Graphics Personal IRIS with the aid of WALKTHRU, a 3-D simulation and animation tool, and software developed in C. HASPP uses extensive knowledge of the manipulator’s workspace and makes certain assumptions about the environment in finding trajectories. The algorithm also makes use of the manipulator’s redundant degrees of freedom to avoid obstacles and joint limits during the trajectory while obtaining a heuristic near-optimal solution. The algorithm is rule-based, governed by heuristics and well-defined geometric tests, providing extremely fast results. It finds “good” trajectories that are optimal within the defined heuristics. When a trajectory is not feasible for the given geometry, the algorithm offers a diagnosis of the limiting constraints. The Pipe Manipulator HASPP implementation has been tested thoroughly with the computer graphics model and it has demonstrated the ability to reliably determine near-optimal collision-free erection trajectories completely automatically. No other planning techniques available in the literature have demonstrated the ability to solve problems as complex as the example presented here. The use of HASPP with simulation offers many application opportunities including plant design constructability studies, assembly and maintenance planning, pre-planning and pre-programming of equipment tasks, and equipment operator assistance. This work was the result of construction automation research sponsored by the National Science Foundation.


Author(s):  
Joseph Pegna

Abstract After more than a decade of research in construction automation, robotic tools have brought little if any productivity improvement to the industry. In this paper, we argue that automation which applies to most manufacturing industry does not translate effectively to construction which is limited not by labor, but by process. We propose a radical departure from generally accepted concepts in construction automation and demonstrate that new techniques of layered manufacturing can be applied effectively to construction. In the process, we also modified material processing of cement to adapt it to the requirements of rapid prototyping. We illustrate our purpose with sample structures manufactured by incremental deposition of reactive bulk materials (cement and Silica in this instance).


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