AI, Robotics, and Automation in Construction Emerging Technologies for Sustainability, Efficiency, and Safety
-
- Englisch ausgewählt
176,99 €
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
11.12.2026
Abbildungen
Approx. 175 illus., 125 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Herausgeber
Yizhi Liu + weitereVerlag
SpringerSeitenzahl
350
Maße (L/B)
23,5/15,5 cm
Sprache
Englisch
ISBN
978-3-032-31015-6
This book brings together the latest advancements and applications of artificial intelligence (AI), robotics, and automation in the construction industry. As the sector faces increasing demands for sustainability, efficiency, and safety, this book comprehensively explores how emerging technologies are revolutionizing construction workflows, from design and planning to on-site execution and maintenance. Edited by leading experts, it offers in-depth insights into AI-driven project management, autonomous construction equipment, robotic fabrication, digital twins, and smart monitoring systems. Additionally, the book features real-world case studies that highlight successful implementations and the challenges associated with adoption.
AI, Robotics, and Automation in Construction: Emerging Technologies for Sustainability, Efficiency, and Safety is an essential resource for researchers, industry professionals, and policymakers seeking to understand and leverage the power of AI and automation in the construction industry. Whether you're looking to enhance productivity, reduce costs, or drive innovation in our projects, this book provides the knowledge and strategies needed to stay ahead in the evolving construction landscape.
Provides an in-depth exploration of a broad spectrum of technologies that are revolutionizing the construction industry; Academic and professional authors offer theoretical insights and practical applications with real-world case studies; Examines the benefits and challenges of adopting AI-driven solutions, such as cost, scalability and workforce adaptation.
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