Reinforcement Learning Of Bimanual Robot Skills

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Reinforcement Learning of Bimanual Robot Skills

Author : Adrià Colomé
Publisher : Springer Nature
ISBN 13 : 3030263266
Total Pages : 182 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Reinforcement Learning of Bimanual Robot Skills by : Adrià Colomé

Download or read book Reinforcement Learning of Bimanual Robot Skills written by Adrià Colomé and published by Springer Nature. This book was released on 2019-08-27 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book tackles all the stages and mechanisms involved in the learning of manipulation tasks by bimanual robots in unstructured settings, as it can be the task of folding clothes. The first part describes how to build an integrated system, capable of properly handling the kinematics and dynamics of the robot along the learning process. It proposes practical enhancements to closed-loop inverse kinematics for redundant robots, a procedure to position the two arms to maximize workspace manipulability, and a dynamic model together with a disturbance observer to achieve compliant control and safe robot behavior. In the second part, methods for robot motion learning based on movement primitives and direct policy search algorithms are presented. To improve sampling efficiency and accelerate learning without deteriorating solution quality, techniques for dimensionality reduction, for exploiting low-performing samples, and for contextualization and adaptability to changing situations are proposed. In sum, the reader will find in this comprehensive exposition the relevant knowledge in different areas required to build a complete framework for model-free, compliant, coordinated robot motion learning.

Advanced Bimanual Manipulation

Author : Bruno Siciliano
Publisher : Springer
ISBN 13 : 3642290418
Total Pages : 266 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advanced Bimanual Manipulation by : Bruno Siciliano

Download or read book Advanced Bimanual Manipulation written by Bruno Siciliano and published by Springer. This book was released on 2012-04-10 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dexterous and autonomous manipulation is a key technology for the personal and service robots of the future. Advances in Bimanual Manipulation edited by Bruno Siciliano provides the robotics community with the most noticeable results of the four-year European project DEXMART (DEXterous and autonomous dual-arm hand robotic manipulation with sMART sensory-motor skills: A bridge from natural to artificial cognition). The volume covers a host of highly important topics in the field, concerned with modelling and learning of human manipulation skills, algorithms for task planning, human-robot interaction, and grasping, as well as hardware design of dexterous anthropomorphic hands. The results described in this five-chapter collection are believed to pave the way towards the development of robotic systems endowed with dexterous and human-aware dual-arm/hand manipulation skills for objects, operating with a high degree of autonomy in unstructured real-world environments.

Intelligent Robotics and Applications

Author : Honghai Liu
Publisher : Springer Nature
ISBN 13 : 3031138449
Total Pages : 801 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Intelligent Robotics and Applications by : Honghai Liu

Download or read book Intelligent Robotics and Applications written by Honghai Liu and published by Springer Nature. This book was released on 2022-08-03 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 4-volume set LNAI 13455 - 13458 constitutes the proceedings of the 15th International Conference on Intelligent Robotics and Applications, ICIRA 2022, which took place in Harbin China, during August 2022. The 284 papers included in these proceedings were carefully reviewed and selected from 442 submissions. They were organized in topical sections as follows: Robotics, Mechatronics, Applications, Robotic Machining, Medical Engineering, Soft and Hybrid Robots, Human-robot Collaboration, Machine Intelligence, and Human Robot Interaction.

Learning for Adaptive and Reactive Robot Control

Author : Aude Billard
Publisher : MIT Press
ISBN 13 : 0262367017
Total Pages : 425 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Learning for Adaptive and Reactive Robot Control by : Aude Billard

Download or read book Learning for Adaptive and Reactive Robot Control written by Aude Billard and published by MIT Press. This book was released on 2022-02-08 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.

Collaboration in a Data-Rich World

Author : Luis M. Camarinha-Matos
Publisher : Springer
ISBN 13 : 331965151X
Total Pages : 764 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Collaboration in a Data-Rich World by : Luis M. Camarinha-Matos

Download or read book Collaboration in a Data-Rich World written by Luis M. Camarinha-Matos and published by Springer. This book was released on 2017-09-06 with total page 764 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 18th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2017, held in Vicenza, Italy, in September 2017. The 68 revised full papers were carefully reviewed and selected from 159 submissions. They provide a comprehensive overview of identified challenges and recent advances in various collaborative network (CN) domains and their applications, with a strong focus on the following areas: collaborative models, platforms and systems for data-rich worlds; manufacturing ecosystem and collaboration in Industry 4.0; big data analytics and intelligence; risk, performance, and uncertainty in collaborative data-rich systems; semantic data/service discovery, retrieval, and composition in a collaborative data-rich world; trust and sustainability analysis in collaborative networks; value creation and social impact of collaboration in data-rich worlds; technology development platforms supporting collaborative systems; collective intelligence and collaboration in advanced/emerging applications: collaborative manufacturing and factories of the future, e-health and care, food and agribusiness, and crisis/disaster management.

Explainable and Interpretable Reinforcement Learning for Robotics

Author : Aaron M. Roth
Publisher : Springer Nature
ISBN 13 : 3031475186
Total Pages : 123 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Explainable and Interpretable Reinforcement Learning for Robotics by : Aaron M. Roth

Download or read book Explainable and Interpretable Reinforcement Learning for Robotics written by Aaron M. Roth and published by Springer Nature. This book was released on with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Tactile Sensing, Skill Learning, and Robotic Dexterous Manipulation

Author : Qiang Li
Publisher : Academic Press
ISBN 13 : 0323904173
Total Pages : 374 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Tactile Sensing, Skill Learning, and Robotic Dexterous Manipulation by : Qiang Li

Download or read book Tactile Sensing, Skill Learning, and Robotic Dexterous Manipulation written by Qiang Li and published by Academic Press. This book was released on 2022-04-02 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tactile Sensing, Skill Learning and Robotic Dexterous Manipulation focuses on cross-disciplinary lines of research and groundbreaking research ideas in three research lines: tactile sensing, skill learning and dexterous control. The book introduces recent work about human dexterous skill representation and learning, along with discussions of tactile sensing and its applications on unknown objects’ property recognition and reconstruction. Sections also introduce the adaptive control schema and its learning by imitation and exploration. Other chapters describe the fundamental part of relevant research, paying attention to the connection among different fields and showing the state-of-the-art in related branches. The book summarizes the different approaches and discusses the pros and cons of each. Chapters not only describe the research but also include basic knowledge that can help readers understand the proposed work, making it an excellent resource for researchers and professionals who work in the robotics industry, haptics and in machine learning. Provides a review of tactile perception and the latest advances in the use of robotic dexterous manipulation Presents the most detailed work on synthesizing intelligent tactile perception, skill learning and adaptive control Introduces recent work on human’s dexterous skill representation and learning and the adaptive control schema and its learning by imitation and exploration Reveals and illustrates how robots can improve dexterity by modern tactile sensing, interactive perception, learning and adaptive control approaches

Robot Learning Human Skills and Intelligent Control Design

Author : Chenguang Yang
Publisher : CRC Press
ISBN 13 : 1000395170
Total Pages : 184 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Robot Learning Human Skills and Intelligent Control Design by : Chenguang Yang

Download or read book Robot Learning Human Skills and Intelligent Control Design written by Chenguang Yang and published by CRC Press. This book was released on 2021-06-21 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last decades robots are expected to be of increasing intelligence to deal with a large range of tasks. Especially, robots are supposed to be able to learn manipulation skills from humans. To this end, a number of learning algorithms and techniques have been developed and successfully implemented for various robotic tasks. Among these methods, learning from demonstrations (LfD) enables robots to effectively and efficiently acquire skills by learning from human demonstrators, such that a robot can be quickly programmed to perform a new task. This book introduces recent results on the development of advanced LfD-based learning and control approaches to improve the robot dexterous manipulation. First, there's an introduction to the simulation tools and robot platforms used in the authors' research. In order to enable a robot learning of human-like adaptive skills, the book explains how to transfer a human user’s arm variable stiffness to the robot, based on the online estimation from the muscle electromyography (EMG). Next, the motion and impedance profiles can be both modelled by dynamical movement primitives such that both of them can be planned and generalized for new tasks. Furthermore, the book introduces how to learn the correlation between signals collected from demonstration, i.e., motion trajectory, stiffness profile estimated from EMG and interaction force, using statistical models such as hidden semi-Markov model and Gaussian Mixture Regression. Several widely used human-robot interaction interfaces (such as motion capture-based teleoperation) are presented, which allow a human user to interact with a robot and transfer movements to it in both simulation and real-word environments. Finally, improved performance of robot manipulation resulted from neural network enhanced control strategies is presented. A large number of examples of simulation and experiments of daily life tasks are included in this book to facilitate better understanding of the readers.

Mapping Human Sensory-Motor Skills for Manipulation onto the Design and Control of Robots

Author : Matteo Bianchi
Publisher : Frontiers Media SA
ISBN 13 : 2889457958
Total Pages : 134 pages
Book Rating : 4.8/5 (894 download)

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Book Synopsis Mapping Human Sensory-Motor Skills for Manipulation onto the Design and Control of Robots by : Matteo Bianchi

Download or read book Mapping Human Sensory-Motor Skills for Manipulation onto the Design and Control of Robots written by Matteo Bianchi and published by Frontiers Media SA. This book was released on 2019-03-25 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Humans are endowed with extraordinary sensory-motor capabilities that enable a successful interaction with and exploration of the environment, as is the case of human manipulation. Understanding and modeling these capabilities represents an important topic not only for neuroscience but also for robotics in a mutual inspiration, both to inform the design and control of artificial systems and, at the same time, to increase knowledge on the biological side. Within this context, synergies -- i.e., goal-directed actions that constrain multi DOFs of the human body and can be defined at the kinematic, muscular, neural level -- have gained increasing attention as a general simplified approach to shape the development of simple and effective artificial devices. The execution of such purposeful sensory-motor primitives on the biological side leverages on the interplay of the sensory-motor control at central and peripheral level, and the interaction of the human body with the external world. This interaction is particularly important considering the new concept of robotic soft manipulation, i.e. soft, adaptable yet robust robotic hands that can deform with the external environment to multiply their grasping and manipulation capabilities. Under this regard, a preeminent role is reserved to touch, being that skin isour primary organ to shape our knowledge of the external world and, hence, to modify it, in interaction with the efferent parts. This Research Topic reports results on the mutual inspiration between neuroscience and robotics, and on how it is possible to translate neuroscientific findings on human manipulation into engineering guidelines for simplified systems able to take full advantage from the interaction and hence exploitation of environmental constraints for task accomplishment and knowledge acquisition.

Human-in-the-loop Learning and Control for Robot Teleoperation

Author : Chenguang Yang
Publisher : Elsevier
ISBN 13 : 0323958435
Total Pages : 268 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Human-in-the-loop Learning and Control for Robot Teleoperation by : Chenguang Yang

Download or read book Human-in-the-loop Learning and Control for Robot Teleoperation written by Chenguang Yang and published by Elsevier. This book was released on 2023-04-06 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human-in-the-loop Learning and Control for Robot Teleoperation presents recent, research progress on teleoperation and robots, including human-robot interaction, learning and control for teleoperation with many extensions on intelligent learning techniques. The book integrates cutting-edge research on learning and control algorithms of robot teleoperation, neural motor learning control, wave variable enhancement, EMG-based teleoperation control, and other key aspects related to robot technology, presenting implementation tactics, adequate application examples and illustrative interpretations. Robots have been used in various industrial processes to reduce labor costs and improve work efficiency. However, most robots are only designed to work on repetitive and fixed tasks, leaving a gap with the human desired manufacturing effect. Introduces research progress and technical contributions on teleoperation robots, including intelligent human-robot interactions and learning and control algorithms for teleoperation Presents control strategies and learning algorithms to a teleoperation framework to enhance human-robot shared control, bi-directional perception and intelligence of the teleoperation system Discusses several control and learning methods, describes the working implementation and shows how these methods can be applied to a specific and practical teleoperation system

Skill Training in Multimodal Virtual Environments

Author : Massîmo Bergamasco
Publisher : CRC Press
ISBN 13 : 1439878951
Total Pages : 325 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Skill Training in Multimodal Virtual Environments by : Massîmo Bergamasco

Download or read book Skill Training in Multimodal Virtual Environments written by Massîmo Bergamasco and published by CRC Press. This book was released on 2012-08-24 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advent of augmented reality technologies used to assist human operators in complex manipulative operations—has brought an urgency to research into the modeling and training of human skills in Virtual Environments. However, modeling a specific act still represents a challenge in cognitive science. The same applies for the control of humanoid robots and the replication of skilled behavior of avatars in Virtual Environments. Skill Training in Multimodal Virtual Environments presents the scientific background, research outcomes, engineering developments, and evaluation studies conducted during the five years (2006-2011) of the project SKILLS–Multimodal Interfaces for Capturing and Transfer of Skill, funded by the European Commission under its 6th Framework Programme for Research and Technological Development. The SKILLS project evaluated how to exploit robotics and virtual environment technologies for the training of specific skills. This book details the novel approach used in the study to cope with skill acquisition, setting aside the mainstream assumptions of common computer-assisted training simulators. It explores how the SKILLS approach generated new training scenarios that allow users to practice new experiences in the performance of the devised task. Using a carefully designed approach that balances science with practicality, the book explores how virtual and augmented reality systems can be designed to address the skill transfer and training in different application contexts. The application of the same roadmap to skills originating from domains such as sports, rehabilitation, industrial environment, and surgery sets this book apart. It demonstrates how technology-oriented training conditions can yield better results than more traditional training conditions.

Artificial Neural Networks and Machine Learning – ICANN 2017

Author : Alessandra Lintas
Publisher : Springer
ISBN 13 : 3319686003
Total Pages : 469 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2017 by : Alessandra Lintas

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2017 written by Alessandra Lintas and published by Springer. This book was released on 2017-10-20 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017. The 128 full papers included in this volume were carefully reviewed and selected from 270 submissions. They were organized in topical sections named: From Perception to Action; From Neurons to Networks; Brain Imaging; Recurrent Neural Networks; Neuromorphic Hardware; Brain Topology and Dynamics; Neural Networks Meet Natural and Environmental Sciences; Convolutional Neural Networks; Games and Strategy; Representation and Classification; Clustering; Learning from Data Streams and Time Series; Image Processing and Medical Applications; Advances in Machine Learning. There are 63 short paper abstracts that are included in the back matter of the volume.

Human-in-the-Loop Robot Control and Learning

Author : Luka Peternel
Publisher : Frontiers Media SA
ISBN 13 : 2889633128
Total Pages : 229 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Human-in-the-Loop Robot Control and Learning by : Luka Peternel

Download or read book Human-in-the-Loop Robot Control and Learning written by Luka Peternel and published by Frontiers Media SA. This book was released on 2020-01-22 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past years there has been considerable effort to move robots from industrial environments to our daily lives where they can collaborate and interact with humans to improve our life quality. One of the key challenges in this direction is to make a suitable robot control system that can adapt to humans and interactively learn from humans to facilitate the efficient and safe co-existence of the two. The applications of such robotic systems include: service robotics and physical human-robot collaboration, assistive and rehabilitation robotics, semi-autonomous cars, etc. To achieve the goal of integrating robotic systems into these applications, several important research directions must be explored. One such direction is the study of skill transfer, where a human operator’s skilled executions are used to obtain an autonomous controller. Another important direction is shared control, where a robotic controller and humans control the same body, tool, mechanism, car, etc. Shared control, in turn invokes very rich research questions such as co-adaptation between the human and the robot, where the two agents can benefit from each other’s skills or must adapt to each other’s behavior to achieve effective cooperative task executions. The aim of this Research Topic is to help bridge the gap between the state-of-the-art and above-mentioned goals through novel multidisciplinary approaches in human-in-the-loop robot control and learning.

Advances in Mechanism, Machine Science and Engineering in China

Author : Xinjun Liu
Publisher : Springer Nature
ISBN 13 : 981199398X
Total Pages : 2228 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Advances in Mechanism, Machine Science and Engineering in China by : Xinjun Liu

Download or read book Advances in Mechanism, Machine Science and Engineering in China written by Xinjun Liu and published by Springer Nature. This book was released on 2023-05-31 with total page 2228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the conference proceedings of the 23rd IFToMM China International Conference on Mechanism and Machine Science & Engineering (IFToMM CCMMS 2022). CCMMS was initiated in 1982, and it is the most important forum held in China for the exchange of research ideas, presentation of technical and scientific achievements, and discussion of future directions in the field of mechanism and machine science. The topics include parallel/hybrid mechanism synthesis and analysis, theoretical & computational kinematics, compliant mechanisms and micro/nano-mechanisms, reconfigurable and metamorphic mechanisms, space structures, mechanisms and materials, structure adaptation in space environment and ground testing, large-scale membrane deployable structures, construction and application of super-scale space systems, cams, gears and combining mechanisms, fluid power mechatronics drivetrain, mechanical design theory and methods, dynamics and vibration control, mechatronics, biologically inspired mechanisms and robotics, medical & rehabilitation robotics, mobile robotics, soft robotics, heavy non-road mobile machine, robot applications, engineering education on mechanisms, machines, and robotics. This book provides a state-of-the-art overview of current advances in mechanism and machine science in China. The inspiring ideas presented in the papers enlighten academic research and industrial application. The potential readers include academic researchers and industrial professionals in mechanism and machine science.

Robot Learning from Human Demonstration

Author : Sonia Dechter
Publisher : Springer Nature
ISBN 13 : 3031015703
Total Pages : 109 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Robot Learning from Human Demonstration by : Sonia Dechter

Download or read book Robot Learning from Human Demonstration written by Sonia Dechter and published by Springer Nature. This book was released on 2022-06-01 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning from Demonstration (LfD) explores techniques for learning a task policy from examples provided by a human teacher. The field of LfD has grown into an extensive body of literature over the past 30 years, with a wide variety of approaches for encoding human demonstrations and modeling skills and tasks. Additionally, we have recently seen a focus on gathering data from non-expert human teachers (i.e., domain experts but not robotics experts). In this book, we provide an introduction to the field with a focus on the unique technical challenges associated with designing robots that learn from naive human teachers. We begin, in the introduction, with a unification of the various terminology seen in the literature as well as an outline of the design choices one has in designing an LfD system. Chapter 2 gives a brief survey of the psychology literature that provides insights from human social learning that are relevant to designing robotic social learners. Chapter 3 walks through an LfD interaction, surveying the design choices one makes and state of the art approaches in prior work. First, is the choice of input, how the human teacher interacts with the robot to provide demonstrations. Next, is the choice of modeling technique. Currently, there is a dichotomy in the field between approaches that model low-level motor skills and those that model high-level tasks composed of primitive actions. We devote a chapter to each of these. Chapter 7 is devoted to interactive and active learning approaches that allow the robot to refine an existing task model. And finally, Chapter 8 provides best practices for evaluation of LfD systems, with a focus on how to approach experiments with human subjects in this domain.

Human-Aware Robotics: Modeling Human Motor Skills for the Design, Planning and Control of a New Generation of Robotic Devices

Author : Giuseppe Averta
Publisher : Springer Nature
ISBN 13 : 3030925218
Total Pages : 284 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Human-Aware Robotics: Modeling Human Motor Skills for the Design, Planning and Control of a New Generation of Robotic Devices by : Giuseppe Averta

Download or read book Human-Aware Robotics: Modeling Human Motor Skills for the Design, Planning and Control of a New Generation of Robotic Devices written by Giuseppe Averta and published by Springer Nature. This book was released on 2022-01-25 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book moves from a thorough investigation of human capabilities during movements and interactions with objects and environment and translates those principles into the design planning and control of innovative mechatronic systems, providing significant advancements in the fields of human–robot interaction, autonomous robots, prosthetics and assistive devices. The work presented in this monograph is characterized by a significant paradigmatic shift with respect to typical approaches, as it always place the human at the center of the technology developed, and the human represents the starting point and the actual beneficiary of the developed solutions. The content of this book is targeted to robotics and neuroscience enthusiasts, researchers and makers, students and simple lovers of the matter.

Principles and Practice of Robotic Surgery - E-Book

Author : Tony Costello
Publisher : Elsevier Health Sciences
ISBN 13 : 0323798217
Total Pages : 691 pages
Book Rating : 4.3/5 (237 download)

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Book Synopsis Principles and Practice of Robotic Surgery - E-Book by : Tony Costello

Download or read book Principles and Practice of Robotic Surgery - E-Book written by Tony Costello and published by Elsevier Health Sciences. This book was released on 2023-07-04 with total page 691 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robot-assisted surgery, soon to be incorporated into most surgical disciplines, can reduce postoperative complications by up to 50%, and has been shown to result in reduced blood loss, earlier hospital discharge, and faster return to normal activity for the patient. Edited by master surgeon Tony Costello, and with contributions from the world’s best and most experienced robotic surgeons worldwide, Principles and Practice of Robotic Surgery is an up-to-date, all-in-one reference that provides step-by-step instruction for practicing surgeons and those who are entering robotic surgery training. This first-of-its-kind text discusses new technologies and their application in each surgical subspecialty, with hundreds of outstanding illustrations and high-quality videos—making this an ideal resource for the entire OR team. Covers every aspect of nearly all current adult and pediatric robotic surgeries in all surgical disciplines. Includes key topics such as robotic anesthesia, operating room prep and positioning of the equipment, certification for robotic training, and the use of artificial intelligence and virtual reality in the present and potential future use of robotic surgery. Discusses the evolution of robotic machines with a focus on new and emerging machines for surgery and education. Provides specific docking instructions with tips and tricks for each robotic operation. Offers comprehensive coverage in a magnificently illustrated, single-volume book, with contributions from an international Who’s Who of the world’s best robotic surgeons. Offers numerous procedural videos, including Robotic Prostatectomy: The Patel Approach; Female Pelvic Organ Sparing (POP) and Male Nerve Sparing (NS) RARC; XiXi Operating Room and Surgical Cart setup for TORS, as well as various TORS procedures; Robotic Surgery in Pediatric Otolaryngology Head and Neck Surgery; and more.