
Infrastructure Robotics by Dikai Liu
Infrastructure RoboticsIlluminating resource presenting commonly used robotic methodologies and technologies, with recent developments and clear application examples across different project types
Infrastructure Robotics presents state-of-the-art research in infrastructure robotics and key methodologies that enable the development of intelligent robots for operation in civil infrastructure environments, describing sensing, perception, localization, map building, environmental and operation awareness, motion and task planning, design methodologies, robot assistance paradigms, and physical human-robot collaboration. The text also presents many case studies of robotic systems developed for real-world applications in maintaining various civil infrastructures, including steel bridges, tunnels, underground water mains, underwater structures, and sewer pipes. In addition, later chapters discuss lessons learned in deployment of intelligent robots in practical applications overall.
Infrastructure Robotics provides a timely and thorough treatment of the subject pertaining to recent developments, such as computer vision and machine learning techniques that have been used in inspection and condition assessment of critical civil infrastructures, including bridges, tunnels, and more.
Written by highly qualified contributors with significant experience in both academia and industry, Infrastructure Robotics covers topics such as:
- Design methods for application of robots in civil infrastructure inspired by biological systems including ants, inchworms, and humans
- Fundamental aspects of research on intelligent robotic co-workers for human-robot collaborative operations
- The ROBO-SPECT European project and a robotized alternative to manual tunnel structural inspection and assessment
- Wider context for the use of additive manufacturing techniques on construction sites
Infrastructure Robotics is an essential resource for researchers, engineers, and graduate students in related fields. Professionals in civil engineering, asset management, and project management who wish to be on the cutting edge of the future of their industries will also benefit from the text.
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Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research
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Path Planning of Cooperative Mobile Robots Using Discrete Event Models
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Decentralized Coverage Control Problems For Mobile Robotic Sensor and Actuator Networks
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Business and Scientific Workflows
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Contemporary Issues in Systems Science and Engineering
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Advances in Battery Manufacturing, Service, and Management Systems
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Automated Transit
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Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number
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E-CARGO and Role-Based Collaboration
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Sustainable Manufacturing Systems: An Energy Perspective
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Human-Robot Interaction Control Using Reinforcement Learning
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Supervisory Control and Scheduling of Resource Allocation Systems
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System Design and Control Integration for Advanced Manufacturing
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Reinforcement and Systemic Machine Learning for Decision Making
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Parallel Population and Parallel Human
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Energy Conservation in Residential, Commercial, and Industrial Facilities
DIKAI LIU, PHD, is a Distinguished Professor at the University of Technology Sydney.
CARLOS BALAGUER, PHD, is a Full Professor at University Carlos III of Madrid (UC3M).
GAMINI DISSANAYAKE, PHD, is an Emeritus Professor at the University of Technology Sydney.
MIRKO KOVAC, PHD, is Director of the Aerial Robotics Laboratory at Imperial College London and the Head of the Laboratory of Sustainability Robotics at the Swiss Federal Laboratories for Material Science and Technology (Empa).
| SKU | Unavailable |
| ISBN 13 | 9781394162840 |
| ISBN 10 | 1394162847 |
| Title | Infrastructure Robotics |
| Author | Dikai Liu |
| Series | Ieee Press Series On Systems Science And Engineering |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | John Wiley & Sons Inc |
| Year published | 2023-12-06 |
| Number of pages | 432 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |















