Dekorationsartikel gehören nicht zum Leistungsumfang.
Foundations of Robotics
A Multidisciplinary Approach with Python and ROS
Taschenbuch von David St-Onge (u. a.)
Sprache: Englisch

38,95 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 4-7 Werktage

Kategorien:
Beschreibung
This 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 book is 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.
This 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 book is 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.
Über den Autor

Damith 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 Australiäs 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).

Inhaltsverzeichnis

PART 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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...

    Details
    Erscheinungsjahr: 2023
    Fachbereich: Nachrichtentechnik
    Genre: Technik
    Rubrik: Naturwissenschaften & Technik
    Medium: Taschenbuch
    Seiten: 568
    Inhalt: xxi
    543 S.
    52 s/w Illustr.
    174 farbige Illustr.
    543 p. 226 illus.
    174 illus. in color.
    ISBN-13: 9789811919855
    ISBN-10: 9811919852
    Sprache: Englisch
    Ausstattung / Beilage: Paperback
    Einband: Kartoniert / Broschiert
    Redaktion: St-Onge, David
    Herath, Damith
    Herausgeber: Damith Herath/David St-Onge
    Auflage: 1st ed. 2022
    Hersteller: Springer Singapore
    Springer Nature Singapore
    Maße: 235 x 155 x 29 mm
    Von/Mit: David St-Onge (u. a.)
    Erscheinungsdatum: 28.09.2023
    Gewicht: 0,953 kg
    preigu-id: 127632920
    Über den Autor

    Damith 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 Australiäs 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).

    Inhaltsverzeichnis

    PART 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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

    1. 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...

    Details
    Erscheinungsjahr: 2023
    Fachbereich: Nachrichtentechnik
    Genre: Technik
    Rubrik: Naturwissenschaften & Technik
    Medium: Taschenbuch
    Seiten: 568
    Inhalt: xxi
    543 S.
    52 s/w Illustr.
    174 farbige Illustr.
    543 p. 226 illus.
    174 illus. in color.
    ISBN-13: 9789811919855
    ISBN-10: 9811919852
    Sprache: Englisch
    Ausstattung / Beilage: Paperback
    Einband: Kartoniert / Broschiert
    Redaktion: St-Onge, David
    Herath, Damith
    Herausgeber: Damith Herath/David St-Onge
    Auflage: 1st ed. 2022
    Hersteller: Springer Singapore
    Springer Nature Singapore
    Maße: 235 x 155 x 29 mm
    Von/Mit: David St-Onge (u. a.)
    Erscheinungsdatum: 28.09.2023
    Gewicht: 0,953 kg
    preigu-id: 127632920
    Warnhinweis

    Ähnliche Produkte

    Ähnliche Produkte