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Ai, Robotics, and 3D Printing|Dimitrios Sargiotis

Ai, Robotics, and 3D Printing : Constructing the Sustainable City of Tomorrow

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Overview

This book presents a rigorous and forward-looking synthesis of artificial intelligence, robotics, and automated fabrication as they converge to redefine the understanding and practice of modern construction. In this volume, the construction site is no longer a domain dominated by manual labor or static workflows, but rather an intelligent ecosystem--self-correcting, behaviorally aligned, and governed by algorithmic foresight. At the heart of this transformation lies a multi-layered architecture of computational learning that reconfigures how buildings are planned, optimized, and erected in real time. The author begins by embedding resource allocation into a mathematically structured landscape, introducing Multi-Agent Reinforcement Learning (MARL) with cooperative Q-learning as a baseline for decentralized decision-making. Quantum Genetic Algorithms (QGAs) and Graph Convolutional Networks (GCNs) elevate resource planning into a multi-objective, simulation-driven process, where digital twins embedded in BIM environments act as live engines for optimization. This progression culminates in the use of LSTM-based predictive analytics and Proximal Policy Optimization (PPO) scheduling agents, enabling proactive orchestration of labor, materials, and equipment under uncertainty. Dr. Sargiotis maps a tectonic transformation in how we conceive, design, and construct our cities. Through mathematics, machine intelligence, and moral insight, construction becomes a site of environmental stewardship, ethical innovation, and computational creativity.

  • Explains AI-driven construction optimization for smarter cities
  • Demonstrates robotic automation for efficient, sustainable building
  • Shows how 3D printing redefines construction material use and design

This item is Non-Returnable

Details

  • ISBN-13: 9783032363923
  • ISBN-10: 3032363926
  • Publisher: Springer
  • Publish Date: February 2027
  • Page Count: 298

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