ADOPTING AI TECHNIQUES IN ROBOTIC FABRICATION IN ARCHITECTURE: INTELLIGENT ROBOTIC BRICKLAYING USING REINFORCEMENT LEARNING ALGORITHMS

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2022-5-16

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Maali Esfangareh, Alireza

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Today, the Fourth Industrial Revolution is taking place and changing many industries and manufacturing methods to fulfill the tremendous global demand for different products and services using every available technological development. Moreover, in the context of Industry 4.0, one of the most critical challenges of Cyber-Physical Production is to have not only economically efficient but also adaptive and flexible production methods under different circumstances. However, by a simple investigation of the architecture industry and especially the construction sites, it will be witnessed that the existing techniques are remarkably far from the standards of Industry 4.0. Therefore, this research is going to investigate the potential of implementing artificial intelligence techniques into the existing robotic construction methods to propose a smarter and more flexible process of fabrication using robots. In this scope, reinforcement learning algorithms which are a sub-category of machine learning algorithms are utilized to train an industrial robotic arm in a set of simulations to perform unsupervised and automated bricklaying tasks. The feasibility of the proposed method is put to test by five case studies of different prototypes. Consequently, The analysis of the results of the training simulations in these case studies demonstrates that applying reinforcement learning algorithms in robotic automated bricklaying methods can provide tools via intelligent agents to establish advantageous cyber-physical systems in the construction industry. This can establish a smart process of employing robots by architects and designers to pave the way for the architecture industry to cope with the emerging demands in the frame of Industry 4.0.

Subject Keywords

Robotic Construction, Automated Bricklaying, Reinforcement Learning Algorithms, Cyber-physical Systems, Industry 4.0

URI

https://hdl.handle.net/11511/97933

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

A. Maali Esfangareh, “ADOPTING AI TECHNIQUES IN ROBOTIC FABRICATION IN ARCHITECTURE: INTELLIGENT ROBOTIC BRICKLAYING USING REINFORCEMENT LEARNING ALGORITHMS,” M.S. - Master of Science, Middle East Technical University, 2022.