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Cover of Robotics Integrated Design And Practice

Robotics Integrated Design And Practice

Written by Xiaojun Yu,Wenquan Liu,Zeming Fan,Zhongkui Sun,Zhunga Liu,Fei Ning

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About this book

This book introduces the integrated design and practice for both serial robots and parallel robots as well as mobile robots. The design and construction of a robot with complete obstacle avoidance functions is introduced step by step, starting by introducing the working principles and knowledges on intelligent sensing, autonomous positioning and navigation, motion and control technologies, and then the robot control system and components.The main purpose of this book is to guide students to apply their theoretical knowledge onto practical robot design and constructions, and to enhance their interests in learning new knowledge and new technology. This approach cultivates the ability of the students to practice their skills, independent thinking and teamwork. With thorough study, students may come to understand the theoretical knowledge of robotic systems and master the abilities of comprehensive engineering design, which would help lay a solid foundation for their future career development.This book is characterized by the combination of theory, engineering design and practice, and it is especially suitable for both senior undergraduate and postgraduate students majoring in robotics. It is also suitable for those scientific and technological researchers engaged in the fields of robot research, development, and application.

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Reading guide

Themes, characters and key ideas in Robotics Integrated Design And Practice, written by Chaptra AI.

  • about 80 hours
  • advanced
  • instructive
  • analytical
  • challenging

"Robotics Integrated Design And Practice" is a comprehensive academic textbook that meticulously guides readers through the interdisciplinary field of robotics, emphasizing the holistic integration of mechanical, electrical, and computational engineering principles. Authored by a team of experts, the book bridges theoretical foundations with practical application, providing a structured approach to designing, analyzing, and implementing robotic systems. It serves as an essential resource for students and professionals seeking to understand the complexities of modern robotics, from conceptualization to functional prototypes. The text aims to equip learners with the critical thinking and practical skills necessary for innovation in this rapidly evolving domain.

“"The true challenge in robotics lies not just in understanding individual components, but in the seamless integration of mechanical, electrical, and computational systems to achieve intelligent behavior."”

Key themes

Integrated System Design
This theme explores the necessity and methodology of designing robotic systems as a cohesive whole, rather than as disparate components. It emphasizes the interdependencies between mechanical structures, electrical circuits, control algorithms, and software, advocating for a holistic approach to achieve optimal performance and functionality. The book details how to consider these interactions from the initial conceptualization phase through to implementation.
Practical Application and Implementation
This theme underscores the book's commitment to hands-on learning and real-world applicability. It moves beyond theoretical discussions to provide guidance on how to translate abstract concepts into tangible robotic prototypes and functional systems. This includes practical considerations in hardware selection, sensor interfacing, actuator control, programming best practices, and systematic debugging and testing.
Systematic Problem Solving and Engineering Methodology
The book promotes a structured, methodical approach to solving complex engineering problems in robotics. It guides the reader through a typical design cycle, from defining requirements and specifications, through conceptualization, detailed design, analysis, simulation, and finally, validation and verification. This theme instills an engineering mindset focused on logical progression, iterative refinement, and evidence-based decision-making.

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