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Robotics and Automation - Vol 2
The chapter provides an extensive overview of Artificial Intelligence (AI) and Machine Learning (ML), focusing on their integral role within civil engineering and construction automation. It discusses the definitions, applications, historical evolution, and current trends of AI and ML, while also addressing various algorithms and their implementation challenges. Key themes include the use of smart robotics, predictive analytics, and data management for improving construction efficiency and safety.
12 Chapters
12 weeks
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Course Chapters
Chapter 19
UAVs for Site Inspection and Monitoring
Chapter 20
Applications in Geotechnical Engineering and Slope Stability Analysis
Chapter 21
Automated Soil Sampling and Testing
Chapter 22
Autonomous Drilling and Excavation in Geotechnical Applications
Chapter 23
Robotics in Tunneling and Underground Construction
Chapter 24
Collaborative Robots (Cobots) in Civil Engineering
Chapter 25
Safety Considerations in Human-Robot Interaction
Chapter 26
Case Studies of Successful Human-Robot Collaboration in Construction
Chapter 27
Use of Robots in Disaster-Stricken Areas
Chapter 28
Search and Rescue Robotics
Chapter 29
Automated Infrastructure Inspection After Disasters
Chapter 30