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1. |
Record Nr. |
UNISOBSOB017196 |
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Autore |
Bausilio, Giovanni |
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Titolo |
Contratti atipici : Disciplina civilistica e trattamento fiscale / Giovanni Bausilio |
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ISBN |
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Descrizione fisica |
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Collana |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910522923303321 |
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Titolo |
Automation and Robotics in the Architecture, Engineering, and Construction Industry / / edited by Houtan Jebelli, Mahmoud Habibnezhad, Shayan Shayesteh, Somayeh Asadi, SangHyun Lee |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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9783030771638 |
3-030-77163-6 |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (229 pages) : (X, 224 p. 73 illus., 42 illus. in color.) |
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Disciplina |
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Soggetti |
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Automatic control |
Robotics |
Automation |
Construction industry - Management |
Mechatronics |
Control, Robotics, Automation |
Construction Management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Automation and Robotics Technologies Deployment Trends in Construction -- Essential Knowledge, Skills and Abilities Required for Talent Cultivation in Construction Automation and Robotics -- Robotics and Automation in Construction (RAC): Priorities and Barriers toward Productivity Improvement in Civil Infrastructure Projects -- Construction Automation and Sustainable Development -- A Briefing on Technological, Societal, and Economical Aspects of Automation in Construction -- Human-Drone Interaction (HDI): Opportunities and Considerations in Construction -- Safety Challenges of Human-Drone Interactions on Construction Jobsites -- Assessing the Role of Wearable Robotics in the Construction Industry: Potential Safety Benefits, Opportunities and Implementation Barriers -- Fault-Tolerant Physiology-aware Signal Classification Algorithm for Robust Decisions in Perceptive Robotics Systems -- Workers’ Trust in Collaborative Construction Robots: EEG-Based Trust Recognition in an Immersive Environment -- Index. |
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Sommario/riassunto |
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Automation and Robotics in the Architecture, Engineering, and Construction Industry provides distinct and unified insight into current and future construction robotics, offering readers a comprehensive perspective for constructing a road map and illuminating improvements for a successful transition towards construction robotization. The book covers the fundamentals and applications of robotics, autonomous vehicles, and human-perceptive machines at construction sites. Through theoretical and experimental analyses, it examines the potential of robotics and automated systems for current and future fieldwork operations and identifies the factors that determine their implementation pace, adoption scale, and ubiquity throughout the industry. The book evaluates the technical, societal, and economic aspects of adopting robots in construction, both as standalone and collaborative systems, which in return can afford the opportunity to investigate these AI-enabled machines more systematically. Provides promising solutions to transform and reinvent the construction industry; Discusses the application of construction site robotics and automation; Includes case studies from around the world. |
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