Infrastructure Robotics: Methodologies, Robotic Systems and Applications

Illuminating 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, inchworm, 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.

「基礎設施機器人學」是一本介紹常用機器人方法和技術的資源，並提供不同項目類型的最新發展和清晰的應用示例。

「基礎設施機器人學」介紹了基礎設施機器人學的最新研究和關鍵方法，使智能機器人能夠在土木基礎設施環境中進行操作。書中描述了感知、認知、定位、地圖建立、環境和操作意識、運動和任務規劃、設計方法論、機器人輔助範式以及人與機器人的實體合作。該書還提供了許多機器人系統在維護各種土木基礎設施（包括鋼橋、隧道、地下水管、水下結構和下水道管道）的實際應用案例。此外，後面的章節還討論了在實際應用中部署智能機器人的經驗教訓。

「基礎設施機器人學」及時而全面地介紹了最近的發展，例如在檢測和狀態評估關鍵土木基礎設施（包括橋樑、隧道等）方面使用的計算機視覺和機器學習技術。

「基礎設施機器人學」由在學術界和工業界都具有豐富經驗的高資歷貢獻者撰寫，涵蓋了以下主題：
- 受生物系統啟發的應用於土木基礎設施的機器人設計方法，包括螞蟻、蠕動和人類。
- 智能機器人共同工作者的研究基礎，用於人機協作操作。
- ROBO-SPECT歐洲項目以及用於手動隧道結構檢測和評估的機器人化替代方案。
- 在建築工地上使用增材製造技術的更廣泛背景。

「基礎設施機器人學」是研究人員、工程師和相關領域研究生的重要資源。土木工程、資產管理和項目管理專業人士希望走在行業未來的尖端的人也會從本書中受益。

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).

Dikai Liu博士是悉尼科技大學的傑出教授。
Carlos Balaguer博士是馬德里卡洛斯三世大學（UC3M）的正教授。
Gamini Dissanayake博士是悉尼科技大學的名譽教授。
Mirko Kovac博士是倫敦帝國學院的空中機器人實驗室主任，也是瑞士聯邦材料科學與技術實驗室（Empa）可持續性機器人實驗室的負責人。