Human Like Decision Making And Control For Autonomous Driving

Download Human Like Decision Making And Control For Autonomous Driving full books in PDF, epub, and Kindle. Read online Human Like Decision Making And Control For Autonomous Driving ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Human-Like Decision Making and Control for Autonomous Driving

Author : Peng Hang
Publisher : CRC Press
ISBN 13 : 1000625028
Total Pages : 237 pages
Book Rating : 4.0/5 (6 download)

DOWNLOAD NOW!

Book Synopsis Human-Like Decision Making and Control for Autonomous Driving by : Peng Hang

Download or read book Human-Like Decision Making and Control for Autonomous Driving written by Peng Hang and published by CRC Press. This book was released on 2022-07-25 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book details cutting-edge research into human-like driving technology, utilising game theory to better suit a human and machine hybrid driving environment. Covering feature identification and modelling of human driving behaviours, the book explains how to design an algorithm for decision making and control of autonomous vehicles in complex scenarios. Beginning with a review of current research in the field, the book uses this as a springboard from which to present a new theory of human-like driving framework for autonomous vehicles. Chapters cover system models of decision making and control, driving safety, riding comfort and travel efficiency. Throughout the book, game theory is applied to human-like decision making, enabling the autonomous vehicle and the human driver interaction to be modelled using noncooperative game theory approach. It also uses game theory to model collaborative decision making between connected autonomous vehicles. This framework enables human-like decision making and control of autonomous vehicles, which leads to safer and more efficient driving in complicated traffic scenarios. The book will be of interest to students and professionals alike, in the field of automotive engineering, computer engineering and control engineering.

Decision-Making Techniques for Autonomous Vehicles

Author : Jorge Villagra
Publisher : Elsevier
ISBN 13 : 0323985491
Total Pages : 426 pages
Book Rating : 4.3/5 (239 download)

DOWNLOAD NOW!

Book Synopsis Decision-Making Techniques for Autonomous Vehicles by : Jorge Villagra

Download or read book Decision-Making Techniques for Autonomous Vehicles written by Jorge Villagra and published by Elsevier. This book was released on 2023-03-03 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision-Making Techniques for Autonomous Vehicles provides a general overview of control and decision-making tools that could be used in autonomous vehicles. Motion prediction and planning tools are presented, along with the use of machine learning and adaptability to improve performance of algorithms in real scenarios. The book then examines how driver monitoring and behavior analysis are used produce comprehensive and predictable reactions in automated vehicles. The book ultimately covers regulatory and ethical issues to consider for implementing correct and robust decision-making. This book is for researchers as well as Masters and PhD students working with autonomous vehicles and decision algorithms. Provides a complete overview of decision-making and control techniques for autonomous vehicles Includes technical, physical, and mathematical explanations to provide knowledge for implementation of tools Features machine learning to improve performance of decision-making algorithms Shows how regulations and ethics influence the development and implementation of these algorithms in real scenarios

Decision-making Strategies for Automated Driving in Urban Environments

Author : Antonio Artuñedo
Publisher : Springer Nature
ISBN 13 : 3030459055
Total Pages : 205 pages
Book Rating : 4.0/5 (34 download)

DOWNLOAD NOW!

Book Synopsis Decision-making Strategies for Automated Driving in Urban Environments by : Antonio Artuñedo

Download or read book Decision-making Strategies for Automated Driving in Urban Environments written by Antonio Artuñedo and published by Springer Nature. This book was released on 2020-04-25 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes an effective decision-making and planning architecture for enhancing the navigation capabilities of automated vehicles in the presence of non-detailed, open-source maps. The system involves dynamically obtaining road corridors from map information and utilizing a camera-based lane detection system to update and enhance the navigable space in order to address the issues of intrinsic uncertainty and low-fidelity. An efficient and human-like local planner then determines, within a probabilistic framework, a safe motion trajectory, ensuring the continuity of the path curvature and limiting longitudinal and lateral accelerations. LiDAR-based perception is then used to identify the driving scenario, and subsequently re-plan the trajectory, leading in some cases to adjustment of the high-level route to reach the given destination. The method has been validated through extensive theoretical and experimental analyses, which are reported here in detail.

Decision Making, Planning, and Control Strategies for Intelligent Vehicles

Author : Haotian Cao
Publisher : Morgan & Claypool Publishers
ISBN 13 : 168173883X
Total Pages : 140 pages
Book Rating : 4.6/5 (817 download)

DOWNLOAD NOW!

Book Synopsis Decision Making, Planning, and Control Strategies for Intelligent Vehicles by : Haotian Cao

Download or read book Decision Making, Planning, and Control Strategies for Intelligent Vehicles written by Haotian Cao and published by Morgan & Claypool Publishers. This book was released on 2020-07-28 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: The intelligent vehicle will play a crucial and essential role in the development of the future intelligent transportation system, which is developing toward the connected driving environment, ultimate driving safety, and comforts, as well as green efficiency. While the decision making, planning, and control are extremely vital components of the intelligent vehicle, these modules act as a bridge, connecting the subsystem of the environmental perception and the bottom-level control execution of the vehicle as well. This short book covers various strategies of designing the decision making, trajectory planning, and tracking control, as well as share driving, of the human-automation to adapt to different levels of the automated driving system. More specifically, we introduce an end-to-end decision-making module based on the deep Q-learning, and improved path-planning methods based on artificial potentials and elastic bands which are designed for obstacle avoidance. Then, the optimal method based on the convex optimization and the natural cubic spline is presented. As for the speed planning, planning methods based on the multi-object optimization and high-order polynomials, and a method with convex optimization and natural cubic splines, are proposed for the non-vehicle-following scenario (e.g., free driving, lane change, obstacle avoidance), while the planning method based on vehicle-following kinematics and the model predictive control (MPC) is adopted for the car-following scenario. We introduce two robust tracking methods for the trajectory following. The first one, based on nonlinear vehicle longitudinal or path-preview dynamic systems, utilizes the adaptive sliding mode control (SMC) law which can compensate for uncertainties to follow the speed or path profiles. The second one is based on the five-degrees-of-freedom nonlinear vehicle dynamical system that utilizes the linearized time-varying MPC to track the speed and path profile simultaneously. Toward human-automation cooperative driving systems, we introduce two control strategies to address the control authority and conflict management problems between the human driver and the automated driving systems. Driving safety field and game theory are utilized to propose a game-based strategy, which is used to deal with path conflicts during obstacle avoidance. Driver's driving intention, situation assessment, and performance index are employed for the development of the fuzzy-based strategy. Multiple case studies and demos are included in each chapter to show the effectiveness of the proposed approach. We sincerely hope the contents of this short book provide certain theoretical guidance and technical supports for the development of intelligent vehicle technology.

Autonomous Vehicles and Systems

Author : Ishwar K. Sethi
Publisher : CRC Press
ISBN 13 : 1003810675
Total Pages : 464 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

Book Synopsis Autonomous Vehicles and Systems by : Ishwar K. Sethi

Download or read book Autonomous Vehicles and Systems written by Ishwar K. Sethi and published by CRC Press. This book was released on 2024-02-06 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book captures multidisciplinary research encompassing various facets of autonomous vehicle systems (AVS) research and developments. The AVS field is rapidly moving towards realization with numerous advances continually reported. The contributions to this field come from widely varying branches of knowledge, making it a truly multidisciplinary area of research and development. The topics covered in the book include: AI and deep learning for AVS Autonomous steering through deep neural networks Adversarial attacks and defenses on autonomous vehicles Gesture recognition for vehicle control Multi-sensor fusion in autonomous vehicles Teleoperation technologies for AVS Simulation and game theoretic decision making for AVS Path following control system design for AVS Hybrid cloud and edge solutions for AVS Ethics of AVS

Driving Decisions

Author : Sam Hind
Publisher : Palgrave Macmillan
ISBN 13 : 9789819717484
Total Pages : 0 pages
Book Rating : 4.7/5 (174 download)

DOWNLOAD NOW!

Book Synopsis Driving Decisions by : Sam Hind

Download or read book Driving Decisions written by Sam Hind and published by Palgrave Macmillan. This book was released on 2024-07-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the phenomenon of autonomous driving, and the ongoing, complex, costly, and contentious quest to automate driving. It is organized around the concept of algorithmic decision-making, with a particular focus on the ‘advance decisions’ necessary to automate driving, and driving decisions as rudimentary as turning a corner, merging onto a motorway, or stopping at traffic lights. The author investigates how mapping, sensing, and machine learning capabilities are gifted to autonomous vehicles through the technical work performed by an array of actors in multiple locations: from users of advanced driver assistance devices enthusiastically serving as volunteer data collectors, to graduate students developing computational solutions in university research initiatives, and from software developers running computer simulations at big tech firms to their counterparts at autonomous vehicle start-ups overseeing active robotaxi services. This book intends to complicate, and question, typical understandings of autonomous driving by going ‘under the hood’, challenging the determinism, or ‘technological decisionism’, that advocates depend on to offer their vision of an inevitable, fully automated, future. It will appeal to scholars and students in the fields of Science and Technology Studies, media studies, digital sociology, human geography, mobilities and transport studies, and digital methodologies.

Autonomous Driving

Author : Markus Maurer
Publisher : Springer
ISBN 13 : 3662488477
Total Pages : 706 pages
Book Rating : 4.6/5 (624 download)

DOWNLOAD NOW!

Book Synopsis Autonomous Driving by : Markus Maurer

Download or read book Autonomous Driving written by Markus Maurer and published by Springer. This book was released on 2016-05-21 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies? Experts from Germany and the United States define key societal, engineering, and mobility issues related to the automation of vehicles. They discuss the decisions programmers of automated vehicles must make to enable vehicles to perceive their environment, interact with other road users, and choose actions that may have ethical consequences. The authors further identify expectations and concerns that will form the basis for individual and societal acceptance of autonomous driving. While the safety benefits of such vehicles are tremendous, the authors demonstrate that these benefits will only be achieved if vehicles have an appropriate safety concept at the heart of their design. Realizing the potential of automated vehicles to reorganize traffic and transform mobility of people and goods requires similar care in the design of vehicles and networks. By covering all of these topics, the book aims to provide a current, comprehensive, and scientifically sound treatment of the emerging field of “autonomous driving".

Predicting Human Decision-Making

Author : Ariel Geib
Publisher : Springer Nature
ISBN 13 : 3031015789
Total Pages : 134 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Predicting Human Decision-Making by : Ariel Geib

Download or read book Predicting Human Decision-Making written by Ariel Geib and published by Springer Nature. This book was released on 2022-05-31 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human decision-making often transcends our formal models of "rationality." Designing intelligent agents that interact proficiently with people necessitates the modeling of human behavior and the prediction of their decisions. In this book, we explore the task of automatically predicting human decision-making and its use in designing intelligent human-aware automated computer systems of varying natures—from purely conflicting interaction settings (e.g., security and games) to fully cooperative interaction settings (e.g., autonomous driving and personal robotic assistants). We explore the techniques, algorithms, and empirical methodologies for meeting the challenges that arise from the above tasks and illustrate major benefits from the use of these computational solutions in real-world application domains such as security, negotiations, argumentative interactions, voting systems, autonomous driving, and games. The book presents both the traditional and classical methods as well as the most recent and cutting edge advances, providing the reader with a panorama of the challenges and solutions in predicting human decision-making.

Inventive Systems and Control

Author : V. Suma
Publisher : Springer Nature
ISBN 13 : 9811613958
Total Pages : 992 pages
Book Rating : 4.8/5 (116 download)

DOWNLOAD NOW!

Book Synopsis Inventive Systems and Control by : V. Suma

Download or read book Inventive Systems and Control written by V. Suma and published by Springer Nature. This book was released on 2021-06-07 with total page 992 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected papers from the 5th International Conference on Inventive Systems and Control (ICISC 2021), held on 7–8 January 2021 at JCT College of Engineering and Technology, Coimbatore, India. The book includes an analysis of the class of intelligent systems and control techniques that utilises various artificial intelligence technologies, where there are no mathematical models and systems available to make them remain controlled. Inspired by various existing intelligent techniques, the primary goal is to present the emerging innovative models to tackle the challenges faced by the existing computing and communication technologies. The proceedings of ICISC 2021 aim at presenting the state-of-the-art research developments, trends, and solutions for the challenges faced by the intelligent systems and control community with the real-world applications. The included research articles feature the novel and unpublished research works on intelligent system representation and control.

Internet of Vehicles and its Applications in Autonomous Driving

Author : Nishu Gupta
Publisher : Springer Nature
ISBN 13 : 3030463354
Total Pages : 193 pages
Book Rating : 4.0/5 (34 download)

DOWNLOAD NOW!

Book Synopsis Internet of Vehicles and its Applications in Autonomous Driving by : Nishu Gupta

Download or read book Internet of Vehicles and its Applications in Autonomous Driving written by Nishu Gupta and published by Springer Nature. This book was released on 2020-09-18 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an insight on the importance that Internet of Vehicles (IoV) solutions can have in taking care of vehicular safety through internetworking and automation. Key features of the book are the inclusion and elaboration of recent and emerging developments in various specializations of intelligent transportation systems and their solutions by incorporating IoT (Internet of Things) and IoV. This book presents to its readers useful IoV applications and architectures that cater to their improved driving requirements and lead towards autonomous driving. The application domains have a large range in which vehicular networking, communication technology, sensor devices, computing materials and devices, IoT communication, vehicular and on-road safety, data security and other topics are included.

Creating Autonomous Vehicle Systems

Author : Liu Shaoshan
Publisher : Springer Nature
ISBN 13 : 3031018028
Total Pages : 192 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Creating Autonomous Vehicle Systems by : Liu Shaoshan

Download or read book Creating Autonomous Vehicle Systems written by Liu Shaoshan and published by Springer Nature. This book was released on 2017-10-25 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first technical overview of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences of creating autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions about its actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, we are able to test new algorithms and update the HD map—plus, train better recognition, tracking, and decision models. This book consists of nine chapters. Chapter 1 provides an overview of autonomous vehicle systems; Chapter 2 focuses on localization technologies; Chapter 3 discusses traditional techniques used for perception; Chapter 4 discusses deep learning based techniques for perception; Chapter 5 introduces the planning and control sub-system, especially prediction and routing technologies; Chapter 6 focuses on motion planning and feedback control of the planning and control subsystem; Chapter 7 introduces reinforcement learning-based planning and control; Chapter 8 delves into the details of client systems design; and Chapter 9 provides the details of cloud platforms for autonomous driving. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find plenty of references for an effective, deeper exploration of the various technologies.

Handbook on Decision Making

Author : Jie Lu
Publisher : Springer Science & Business Media
ISBN 13 : 3642257550
Total Pages : 454 pages
Book Rating : 4.6/5 (422 download)

DOWNLOAD NOW!

Book Synopsis Handbook on Decision Making by : Jie Lu

Download or read book Handbook on Decision Making written by Jie Lu and published by Springer Science & Business Media. This book was released on 2012-03-15 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovative theories, methodologies, and techniques in the field of risk management and decision making. It introduces new research developments and provides a comprehensive image of their potential applications to readers interested in the area. The collection includes: computational intelligence applications in decision making, multi-criteria decision making under risk, risk modelling,forecasting and evaluation, public security and community safety, risk management in supply chain and other business decision making, political risk management and disaster response systems. The book is directed to academic and applied researchers working on risk management, decision making, and management information systems.

Autonomous Vehicles, Volume 2

Author : Romil Rawat
Publisher : John Wiley & Sons
ISBN 13 : 1394152612
Total Pages : 356 pages
Book Rating : 4.3/5 (941 download)

DOWNLOAD NOW!

Book Synopsis Autonomous Vehicles, Volume 2 by : Romil Rawat

Download or read book Autonomous Vehicles, Volume 2 written by Romil Rawat and published by John Wiley & Sons. This book was released on 2022-11-30 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: AUTONOMOUS VEHICLES The companion to Autonomous Vehicles Volume 1: Using Machine Intelligence, this second volume in the two-volume set covers intelligent techniques utilized for designing, controlling, and managing vehicular systems based on advanced algorithms of computing like machine learning, artificial intelligence, data analytics, and Internet of Things (IoT) with prediction approaches to avoid accidental damages, security threats, and theft. Besides communicating with other vehicles, self-driving cars connected to a 5G network will also be able to communicate with different infrastructure elements that make up our roads and other transportation and communication systems. Similarly, an unmanned aerial vehicle (UAV), an aircraft without any human pilot, crew, or passengers on board, can operate under remote control by a human operator, as a remotely-piloted aircraft (RPA), or with various degrees of autonomy. These include autopilot assistance and fully autonomous aircraft that have no provision for human intervention. Transportation is a necessary, but often painful process. With fully autonomous driving, passengers will be freed to accomplish their own goals, turning the dead hours of driving into fruitful hours of learning, working, engaging, and relaxing. Similarly, UAVs can perform functions that human-operated aircraft cannot, whether because of the environment or high-risk situations. The purpose of the book is to present the needs, designs, and applications of autonomous vehicles. The topics covered range from mechanical engineering to computer science engineering, both areas playing vital roles in programming, managing, generating alerts, and GPS position, artificial intelligence-based prediction of path and events, as well as other high-tech tools, are covered in this book, as well. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.

Smart Vehicles for Communication, Volume 2

Author : Romil Rawat
Publisher : John Wiley & Sons
ISBN 13 : 1394152256
Total Pages : 356 pages
Book Rating : 4.3/5 (941 download)

DOWNLOAD NOW!

Book Synopsis Smart Vehicles for Communication, Volume 2 by : Romil Rawat

Download or read book Smart Vehicles for Communication, Volume 2 written by Romil Rawat and published by John Wiley & Sons. This book was released on 2023-01-05 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: AUTONOMOUS VEHICLES The companion to Autonomous Vehicles Volume 1: Using Machine Intelligence, this second volume in the two-volume set covers intelligent techniques utilized for designing, controlling, and managing vehicular systems based on advanced algorithms of computing like machine learning, artificial intelligence, data analytics, and Internet of Things (IoT) with prediction approaches to avoid accidental damages, security threats, and theft. Besides communicating with other vehicles, self-driving cars connected to a 5G network will also be able to communicate with different infrastructure elements that make up our roads and other transportation and communication systems. Similarly, an unmanned aerial vehicle (UAV), an aircraft without any human pilot, crew, or passengers on board, can operate under remote control by a human operator, as a remotely-piloted aircraft (RPA), or with various degrees of autonomy. These include autopilot assistance and fully autonomous aircraft that have no provision for human intervention. Transportation is a necessary, but often painful process. With fully autonomous driving, passengers will be freed to accomplish their own goals, turning the dead hours of driving into fruitful hours of learning, working, engaging, and relaxing. Similarly, UAVs can perform functions that human-operated aircraft cannot, whether because of the environment or high-risk situations. The purpose of the book is to present the needs, designs, and applications of autonomous vehicles. The topics covered range from mechanical engineering to computer science engineering, both areas playing vital roles in programming, managing, generating alerts, and GPS position, artificial intelligence-based prediction of path and events, as well as other high-tech tools, are covered in this book, as well. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.

Autonomous Driving Changes the Future

Author : Zhanxiang Chai
Publisher : Springer Nature
ISBN 13 : 981156728X
Total Pages : 316 pages
Book Rating : 4.8/5 (115 download)

DOWNLOAD NOW!

Book Synopsis Autonomous Driving Changes the Future by : Zhanxiang Chai

Download or read book Autonomous Driving Changes the Future written by Zhanxiang Chai and published by Springer Nature. This book was released on 2020-07-22 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book systematically discusses the development of autonomous driving, describing the related history, technological advances, infrastructure, social impacts, international competition, China’s opportunities and challenges, and possible future scenarios. This popular science book uses straightforward language and includes quotes from ancient Chinese poems to enhance the reading experience. The discussions are supplemented by theoretical elaborations, presented in tables and figures. The book is intended for auto fans, upper undergraduate and graduate students in the field of automotive engineering.

HCI in Mobility, Transport, and Automotive Systems

Author : Heidi Krömker
Publisher : Springer Nature
ISBN 13 : 303104987X
Total Pages : 650 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis HCI in Mobility, Transport, and Automotive Systems by : Heidi Krömker

Download or read book HCI in Mobility, Transport, and Automotive Systems written by Heidi Krömker and published by Springer Nature. This book was released on 2022-06-16 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on HCI in Mobility, Transport, and Automotive Systems, MobiTAS 2022, held as part of the 23rd International Conference, HCI International 2022, which was held virtually in June/July 2022. The total of 1271 papers and 275 posters included in the HCII 2022 proceedings was carefully reviewed and selected from 5487 submissions. The MobiTAS 2022 proceedings were organized in the following topical sections: Designing Interactions in the Mobility, Transport, and Automotive Context; Human-Centered Design of Automotive Systems; Driver Information and Assistance Systems; Studies on Automated Driving; and Micro-mobility and Urban Mobility.

Trends in Control and Decision-Making for Human–Robot Collaboration Systems

Author : Yue Wang
Publisher : Springer
ISBN 13 : 3319405330
Total Pages : 418 pages
Book Rating : 4.3/5 (194 download)

DOWNLOAD NOW!

Book Synopsis Trends in Control and Decision-Making for Human–Robot Collaboration Systems by : Yue Wang

Download or read book Trends in Control and Decision-Making for Human–Robot Collaboration Systems written by Yue Wang and published by Springer. This book was released on 2017-01-24 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of recent research developments in the automation and control of robotic systems that collaborate with humans. A measure of human collaboration being necessary for the optimal operation of any robotic system, the contributors exploit a broad selection of such systems to demonstrate the importance of the subject, particularly where the environment is prone to uncertainty or complexity. They show how such human strengths as high-level decision-making, flexibility, and dexterity can be combined with robotic precision, and ability to perform task repetitively or in a dangerous environment. The book focuses on quantitative methods and control design for guaranteed robot performance and balanced human experience from both physical human-robot interaction and social human-robot interaction. Its contributions develop and expand upon material presented at various international conferences. They are organized into three parts covering: one-human–one-robot collaboration; one-human–multiple-robot collaboration; and human–swarm collaboration. Individual topic areas include resource optimization (human and robotic), safety in collaboration, human trust in robot and decision-making when collaborating with robots, abstraction of swarm systems to make them suitable for human control, modeling and control of internal force interactions for collaborative manipulation, and the sharing of control between human and automated systems, etc. Control and decision-making algorithms feature prominently in the text, importantly within the context of human factors and the constraints they impose. Applications such as assistive technology, driverless vehicles, cooperative mobile robots, manufacturing robots and swarm robots are considered. Illustrative figures and tables are provided throughout the book. Researchers and students working in controls, and the interaction of humans and robots will learn new methods for human–robot collaboration from this book and will find the cutting edge of the subject described in depth.