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OverviewThis open access book introduces key concepts in robotics in an easy to understand language using an engaging project-based approach. It covers contemporary topics in robotics, providing an accessible entry point to fundamentals in all the major domains. A section is dedicated to introducing programming concepts using Python, which has become a language of choice in robotics and AI. The book also introduces the reader to the Robot Operating System (ROS), the ubiquitous software and algorithmic framework used by researchers and the industry. The book provides an inspired, up-to-date and multidisciplinary introduction to robotics in its many forms, including emerging topics related to robotics on Machine Learning, ethics, Human-Robot Interaction, and Design Thinking. The book also includes interviews with industry experts, providing an additional layer of insight into the world of robotics. The book is made open access through the generous support from Kinova Robotics. The bookis suitable as an undergraduate textbook in a relevant engineering course. It is also suitable for students in art and design, high school students, and self-learners who would like to explore foundational concepts in robotics. “This book provides the ‘foundation’ for understanding how robots work. It is the accessible introduction that artists and engineers have been waiting for.” - Ken Goldberg, William S. Floyd Jr. Distinguished Chair in Engineering, UC Berkeley. Full Product DetailsAuthor: Damith Herath , David St-OngePublisher: Springer Verlag, Singapore Imprint: Springer Verlag, Singapore Edition: 1st ed. 2022 Weight: 1.009kg ISBN: 9789811919855ISBN 10: 9811919852 Pages: 543 Publication Date: 28 September 2023 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsPART I: Contextual Design Genealogy of artificial beings: from ancient automata to modern robotics Nicolas Reeves and David St-Onge 1.1 What is a robot? 1.2 A mythical origin 1.3 Early automata 1.4 Anatomical analogies: understanding through replication 1.5 Industrial (r)evolutions 1.6 Modern robotics 1.7 SOCIAL ROBOTICS 1.8 Robotic futures and transrobotics Teaching and learning robotics: A pedagogical perspective Eleni Petraki and Damith Herath 2.1 Learning objective 2.2 Introduction 2.3 Defining the body of knowledge of the robotics field 2.4 Review of research on pedagogies and practices in robotics education 2.5 Assessment practices 2.6 Paving the way for innovative pedagogies and assessment in robotics education 2.7 Chapter summary 2.8 Quiz 2.9 References Design Thinking: from Empathy to Ideation Fanke Peng 3.1 Learning objectives 3.2 Introduction 3.3 Design Thinking Process: Discover, Define, Develop and Deliver 3.4 Conclusion 3.5 Quiz 3.6 References Software building blocks: From Python to Version control Damith Herath, Adam Haskard and Niranjan Shukla 4.1 Learning Objectives 4.2 Introduction 4.3 Python and basics of programming 4.4 Object-Oriented Programming 4.5 Error handling 4.6 Secure Coding 4.7 Case study – Writing your first program in Python 4.8 Version control basics 4.9 Containerising applications 4.10 Chapter summary 4.11 Revision questions 4.12 Further reading 4.13 References The Robot Operating System (ROS1&2): programming paradigms and deployment David St-Onge and Damith Herath 5.1 Learning Objectives 5.2 Introduction 5.3 Why ROS? 5.4 What is ROS? 5.5 Key features from the core 5.6 Additional useful features 5.7 Linux for robotics 5.8 Chapter Summary 5.9 Revision Questions 5.10 Further reading 5.11 References Mathematical building blocks: From geometry to quaternions to Bayesian Rebecca Stower, Bruno Belzile and David St-Onge 6.1 Learning Objectives 6.2 Introduction 6.3 Basic Geometry and Linear Algebra 6.4 Geometric Transformations 6.5 Basic Probability 6.6 Derivatives 6.7 Basic Statistics 6.8 Chapter Summary 6.9 Revision Questions 6.10 Further Reading 6.11 References PART II: Embedded Design What makes robots? Sensors, Actuators and Algorithms Jiefei Wang and Damith Herath 7.1 Learning Objectives 7.2 Introduction 7.3 Sense: Sensing the world with sensors 7.4 Think: Algorithms 7.5 Act: Moving about with actuators 7.6 Computer vision in robotics 7.7 Review questions 7.8 Further reading 7.9 References Mobile robots: Controlling, Navigating and path planning Jiefei Wang and Damith Herath 8.1 Learning Objectives 8.2 Introduction 8.3 Mobile robots 8.4 Controlling robots 8.5 Path planning 8.6 Obstacle avoidance 8.7 Chapter Summary 8.8 Review Questions 8.9 Further Reading 8.10 References Lost in space! Localisation and Mapping Damith Herath 9.1 Learning Objectives 9.2 Introduction 9.3 Robot localisation problem 9.4 The Robot Mapping Problem 9.5 The Simultaneous Localisation and Mapping (SLAM) problem 9.6 The Kalman Filter 9.7 A Case Study: Robot Localisation using the Extended Kalman Filter 9.8 Summary 9.9 Review Questions 9.10 Further Reading 9.11 References How to manipulate? Kinematics, dynamics and architecture of robot arms Bruno Belzile and David St-Onge 10.1 Learning Objectives 10.2 Introduction 10.3 Architectures 10.4 Kinematics of Serial Manipulators 10.5 Kinematics of Parallel Manipulators 10.6 Dynamics 10.7 Chapter Summary 10.8 Revision Questions 10.9 Further Reading 10.10 References Get together! Multi-robot systems: bio-inspired concepts and deployment challenges Vivek Shankar Varadharajan and Giovanni Beltrame 11.1 Objectives of the chapter 11.2 Introduction 11.3 Types of multi-robot systems 11.4 Swarm Programming 11.5 Deployment of real world swarm systems 11.6 Chapter Summary 11.7 Chapter Revision 11.8 Further reading 11.9 References The Embedded design process: CAD/CAM and prototyping Eddi Pianca 12.1 Learning Objectives 12.2 Introduction 12.3 The design process and CAD 12.4 The Design Process vs Design Thinking 12.5 CAD systems 12.6 CAD file types 12.7 CAD parametric modelling - Assembly and part files 12.8 CAD parametric modelling - Drawing Files 12.9 CAD File Transfer 12.10 VR and AR for CAD 12.11 CAM and CNC 12.12 Workshop 12.13 Case study - hexapod robot project 12.14 Revision questions 12.15 References PART II: Interaction Design Social robots: Principles of interaction design and user studies Janie Busby Grant & Damith Herath 13.1 Learning Objectives 13.2 Introduction 13.3 Cobots, Social Robots and Human Robot Interaction 13.4 Why conduct research? 13.5 Deciding on your research variables 13.6 Sampling, reliability & validity 13.7 Ethics 13.8 Chapter Summary 13.9 Revision Questions 13.10 References Safety first: On the safe deployment of robotic systems Bruno Belzile and David St-Onge 14.1 Learning Objectives 14.2 Introduction 14.3 Standards 14.4 Industrial Risk Assessment and Mitigation 14.5 Cobots 14.6 Mobile Robots 14.7 Chapter Summary 14.8 Revision Questions 14.9 Further Reading 14.10 References Managing the world complexity: from linear regression to deep learning Yann Bouteiller 15.1 Objectives of the chapter 15.2 Introduction 15.3 Definitions 15.4 From linear regression to deep learning 15.5 Policy search for robotic control 15.6 Wrapping it up: how to deeply understand the world 15.7 Summary 15.8 Quiz 15.9 Further reading Robot ethics: Ethical design considerations Dylan Cawthorne 16.1 Learning Objectives 16.2 Introduction 16.3 Ethics 16.4 The non-neutrality of technology 16.5 Technological determinism and multiple futures 16.6 Human values in design 16.7 Value sensitive design 16.8 Ethics tools 16.9 Case study: VSD of a Danish healthcare drone 16.10 Responsible research and innovation 16.11 Chapter summary 16.12 Revision questions 16.13 References APPENDIX: Projects Robot Hexapod Build Labs David Hinwood and Damith Herath 17.1 Introduction 17.2 Project One: Defining the Robot System 17.3 Project Two: Modelling the Position Kinematics 17.4 Project Three: Modelling the Velocity Kinematics with Python 17.5 Project Four: Building Communication Protocols 17.6 Some Final Thoughts 17.7 References ROS Mobile Manipulator labs David St-Onge, Corentin Boucher and Bruno Belzile 18.1 Introduction 18.2 Project 1: Discovering ROS and the Dingo 18.3 Project 2: Kalman for differential drive 18.4 Project 3: 3-DoF Kinematics 18.5 Project 4: Let's bring it back together! 18.6 Project 5: Save the day!ReviewsAuthor InformationDamith Herath (Ph.D., Robotics) is an Associate Professor in Robotics and Art at the University of Canberra. Damith is a multi-award winning entrepreneur and a roboticist with extensive experience leading multidisciplinary research teams on complex robotic integration, industrial and research projects for over two decades. He founded Australia’s first collaborative robotics startup in 2011 and was named one of the most innovative young tech companies in Australia in 2014. Teams he led in 2015 and 2016 consecutively became finalists and, in 2016, a top-ten category winner in the coveted Amazon Robotics Challenge - an industry-focussed competition amongst the robotics research elite. In addition, Damith has chaired several international workshops on Robots and Art and is the lead editor of the book ""Robots and Art: Exploring an Unlikely Symbiosis"" - the first significant work to feature leading roboticists and artists together in the field of Robotic Art. David St-Onge (Ph.D., Mech. Eng.) is an Associate Professor in the Mechanical Engineering Department at the École de technologie supérieure and director of the INIT Robots Lab (initrobots.ca). David’s research focuses on human-swarm collaboration more specifically with respect to operators’ cognitive load and motion-based interactions. He has over 10 years’ experience in the field of interactive media (structure, automatization and sensing) as workshop production director and as R&D engineer. He is an active member of national clusters centered on human-robot interaction (REPARTI) and art-science collaborations (Hexagram). He participates in national training programs for highly qualified personnel for drone services (UTILI), as well as for the deployment of industrial cobots (CoRoM). He led the team effort to present the first large-scale symbiotic integration of robotic art at the IEEE International Conference on Robotics and Automation (ICRA 2019). Tab Content 6Author Website:Countries AvailableAll regions |