Robotics: From Theory to Practice introduces robotic theories and technologies to audiences, including university students, professionals with engineering backgrounds, and even high-school students interested in building their own robots. We aim to bridge the gap between classic theories and real-world applications of robotic manipulators, which, to date, have far exceeded the domain of conventional industry.

The contents are divided into three parts. The first two cover classic theories of robotics, including kinematics, dynamics, path planning, control, and programming. Specifically, Part I is an introduction targeting junior students, featuring more simplistic topics and examples. Part II provides the senior students and professionals with more in-depth discussions on critical topics and more comprehensive examples. In Part III, we demonstrate how classic robotics theory can be extended to more advanced theoretical frameworks and adopted in real-world applications beyond conventional industries.

This textbook is valuable to broad readers, including those who have limited background in general engineering and wish to explore non-conventional applications of robotic manipulators. The scaffolded contents from Part I to Part III are created to lower the prerequisites and smooth the learning curve.

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Chao Chen is the Director of the Laboratory of Motion Generation and Analysis (LMGA), the Academic Supervisor of the Monash Nova Rover Team, and was the Course Director of Robotics and Mechatronics in the Department of Mechanical and Aerospace Engineering at Monash University. His research in robotics was well recognised by a number of awards including Excellence Award of Project of Year 2023 for his harvesting robot by Engineers Australia (Victoria).

Wesley Au is a robotics and automation research engineer at Boeing Research and Technology Australia, designing advanced production systems for the automation of precise and high-rate manufacturing in the aerospace industry. He has a strong background in robotics, especially in intelligent path planning within complex and dynamic workspaces.

Shao Liu is a research fellow in the LMGA at Monash University. He has extensive expertise in robotic design, modelling, and analysis, and has conducted a number of research projects and industry projects in medical robots, manufacturing robots, and special-purpose robots.

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