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ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)
Download or read book "Machine Learning, Control, and Robotics (MLCR), International Conference On". written by and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : IEEE Staff
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ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (53 download)
Download or read book 2023 2nd International Conference on Machine Learning, Control, and Robotics (MLCR) written by IEEE Staff and published by . This book was released on 2023-12-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine intelligence Pattern analysis Machine learning Control engineering computing Robotics and automation
Author : Institute of Electrical and Electronics Engineers
Publisher :
ISBN 13 : 9781665454599
Total Pages : 0 pages
Book Rating : 4.4/5 (545 download)
Download or read book 2022 International Conference on Machine Learning, Control, and Robotics (MLCR) written by Institute of Electrical and Electronics Engineers and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : IEEE Staff
Publisher :
ISBN 13 : 9781665454605
Total Pages : 0 pages
Book Rating : 4.4/5 (546 download)
Download or read book 2022 International Conference on Machine Learning, Control, and Robotics (MLCR) written by IEEE Staff and published by . This book was released on 2022-10-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine intelligence, Pattern analysis, Machine learning, Control engineering computing, Robotics and automation
Author : Dan Zhang
Publisher : Elsevier
ISBN 13 : 0128223154
Total Pages : 282 pages
Book Rating : 4.1/5 (282 download)
Download or read book Learning Control written by Dan Zhang and published by Elsevier. This book was released on 2020-12-05 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning Control: Applications in Robotics and Complex Dynamical Systems provides a foundational understanding of control theory while also introducing exciting cutting-edge technologies in the field of learning-based control. State-of-the-art techniques involving machine learning and artificial intelligence (AI) are covered, as are foundational control theories and more established techniques such as adaptive learning control, reinforcement learning control, impedance control, and deep reinforcement control. Each chapter includes case studies and real-world applications in robotics, AI, aircraft and other vehicles and complex dynamical systems. Computational methods for control systems, particularly those used for developing AI and other machine learning techniques, are also discussed at length. Provides foundational control theory concepts, along with advanced techniques and the latest advances in adaptive control and robotics Introduces state-of-the-art learning-based control technologies and their applications in robotics and other complex dynamical systems Demonstrates computational techniques for control systems Covers iterative learning impedance control in both human-robot interaction and collaborative robots
Author : Judy A. Franklin
Publisher : Springer Science & Business Media
ISBN 13 : 9780792397458
Total Pages : 226 pages
Book Rating : 4.3/5 (974 download)
Download or read book Recent Advances in Robot Learning written by Judy A. Franklin and published by Springer Science & Business Media. This book was released on 1996-06-30 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent Advances in Robot Learning contains seven papers on robot learning written by leading researchers in the field. As the selection of papers illustrates, the field of robot learning is both active and diverse. A variety of machine learning methods, ranging from inductive logic programming to reinforcement learning, is being applied to many subproblems in robot perception and control, often with objectives as diverse as parameter calibration and concept formulation. While no unified robot learning framework has yet emerged to cover the variety of problems and approaches described in these papers and other publications, a clear set of shared issues underlies many robot learning problems. Machine learning, when applied to robotics, is situated: it is embedded into a real-world system that tightly integrates perception, decision making and execution. Since robot learning involves decision making, there is an inherent active learning issue. Robotic domains are usually complex, yet the expense of using actual robotic hardware often prohibits the collection of large amounts of training data. Most robotic systems are real-time systems. Decisions must be made within critical or practical time constraints. These characteristics present challenges and constraints to the learning system. Since these characteristics are shared by other important real-world application domains, robotics is a highly attractive area for research on machine learning. On the other hand, machine learning is also highly attractive to robotics. There is a great variety of open problems in robotics that defy a static, hand-coded solution. Recent Advances in Robot Learning is an edited volume of peer-reviewed original research comprising seven invited contributions by leading researchers. This research work has also been published as a special issue of Machine Learning (Volume 23, Numbers 2 and 3).
Author :
Publisher : Springer Nature
ISBN 13 : 9464634715
Total Pages : 1527 pages
Book Rating : 4.4/5 (646 download)
Download or read book written by and published by Springer Nature. This book was released on with total page 1527 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : F. Ying
Publisher : IOS Press
ISBN 13 : 1643685074
Total Pages : 1278 pages
Book Rating : 4.6/5 (436 download)
Download or read book International Symposium on World Ecological Design written by F. Ying and published by IOS Press. This book was released on 2024-04-23 with total page 1278 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the world facing increasingly serious global climate change and resource scarcity issues, ecology and the environment have received much attention in recent years. As a major factor in human activity, design plays an important part in protecting the environment, as does the role of digital technology in finding solutions to the pressing problems faced in this regard. This book presents the proceedings of ISWED2023, the International Symposium on World Ecological Design, held on 17 December 2023 in Guangzhou, China. Sponsored by the World Eco-Design Conference (a UN Consultative NGO), the conference provides a platform for professionals and researchers from industry and academia to present and discuss recent advances in the field of ecological design. This year, the conference focused on the four topics of digital technology and health, digital technology and transportation, digital technology and energy, and digital technology and the environment. A total of 518 submissions on these topics were received for the conference, of which 125 were accepted for presentation and publication here. Providing a current overview of research and innovation in ecological design around the world, the book will be of interest to all those working in the fields of ecological design and digital-technology integration.
Author : Michael Lutter
Publisher : Springer Nature
ISBN 13 : 3031378326
Total Pages : 131 pages
Book Rating : 4.0/5 (313 download)
Download or read book Inductive Biases in Machine Learning for Robotics and Control written by Michael Lutter and published by Springer Nature. This book was released on 2023-07-31 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: One important robotics problem is “How can one program a robot to perform a task”? Classical robotics solves this problem by manually engineering modules for state estimation, planning, and control. In contrast, robot learning solely relies on black-box models and data. This book shows that these two approaches of classical engineering and black-box machine learning are not mutually exclusive. To solve tasks with robots, one can transfer insights from classical robotics to deep networks and obtain better learning algorithms for robotics and control. To highlight that incorporating existing knowledge as inductive biases in machine learning algorithms improves performance, this book covers different approaches for learning dynamics models and learning robust control policies. The presented algorithms leverage the knowledge of Newtonian Mechanics, Lagrangian Mechanics as well as the Hamilton-Jacobi-Isaacs differential equation as inductive bias and are evaluated on physical robots.
Author : Swagatam Das
Publisher : Springer Nature
ISBN 13 : 9819995213
Total Pages : 536 pages
Book Rating : 4.8/5 (199 download)
Download or read book Advances in Data-Driven Computing and Intelligent Systems written by Swagatam Das and published by Springer Nature. This book was released on with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jun Jo
Publisher : Springer Nature
ISBN 13 : 303126889X
Total Pages : 462 pages
Book Rating : 4.0/5 (312 download)
Download or read book Robot Intelligence Technology and Applications 7 written by Jun Jo and published by Springer Nature. This book was released on 2023-02-28 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are starting to enter a post-COVID-19 life. While this pandemic has made everyone’s life challenging, it also expedited the transition of our everyday lives into a new form, often called “The New Normal.” Although many people often use the terminology, perhaps we still do not have consensus about what it is and what it should be like. However, one thing that is clear namely that robotics and artificial intelligence technologies are playing a critical role in this transition phase of our everyday lives. We saw the emergence of last-mile delivery robots on the street, AI-embedded service robots in restaurants, uninhabited shops, non-face-to-face medical services, conferences and talks in metaverses, and AI-based online education programs. This book is an edition that aims at serving researchers and practitioners in related fields with a timely dissemination of the recent progress in the areas of robotics and artificial intelligence. This book is based on a collection of papers presented at the 10th International Conference on Robot Intelligence Technology and Applications (RiTA), held at Griffith University in the Gold Coast, Queensland, Australia. The conference was held in a hybrid format on December 7–9, 2022, with the main theme “Artificial, Agile, Acute Robot Intelligence.” For better readability, the total of 41 papers are grouped into five chapters: Chapter I: Motion Planning and Control; Chapter II: Vision and Image Processing; Chapter III: Unmanned Aerial Vehicles and Autonomous Vehicles; Chapter IV: Learning and Classification; and Chapter V: Environmental and Societal Robotic Applications. The articles were accepted through a rigorous peer-review process and presented at the RiTA 2022 conference. Also, they were updated, and final versions of the manuscripts were produced after in-depth discussions during the conference. We would like to thank all the authors and editors for contributing to this edition.
Author : Aude Billard
Publisher : MIT Press
ISBN 13 : 0262367017
Total Pages : 425 pages
Book Rating : 4.2/5 (623 download)
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.
Author : Jinwhan Kim
Publisher : Springer Nature
ISBN 13 : 3030976726
Total Pages : 619 pages
Book Rating : 4.0/5 (39 download)
Download or read book Robot Intelligence Technology and Applications 6 written by Jinwhan Kim and published by Springer Nature. This book was released on 2022-03-31 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims at serving the researchers and practitioners in related fields with a timely dissemination of the recent progress on robotics and artificial intelligence. This book is based on a collection of papers presented at the 9th International Conference on Robot Intelligence Technology and Applications (RiTA), held at KAIST in Daejeon, Korea, in a hybrid format, on December 16–17, 2021. Humankind is getting through the third year of COVID-19 pandemic. While this pandemic has made everyone’s life so challenging, it has also expedited transition of our everyday lives into a new form, often called “the new normal.” Although many people often use the terminology, perhaps we still do not have a consensus about what it is and what is should be like. One thing that is clear is that robotics and artificial intelligence technologies are playing critical roles in this phase transition of our everyday lives. We see last-mile delivery robots on the street, AI-embedded service robots in the restaurants, uninhabited shops, non-face-to-face medical services, conferences and talks in metaverses and AI-based online education programs. For better readability, the total of 53 papers are grouped into four chapters: Chapter I: Motion Planning and Control; Chapter II: Design and Robot Application; Chapter III: Sensing, Perception and Recognition; and Chapter IV: Cognition, Autonomy and Intelligence. For those who have research on robot intelligence technology, we believe this book will help them understand the recent robot technologies and applications and enhance their study.
Author : Marek Pawelczyk
Publisher : Springer Nature
ISBN 13 : 3031351738
Total Pages : 463 pages
Book Rating : 4.0/5 (313 download)
Download or read book Advanced, Contemporary Control written by Marek Pawelczyk and published by Springer Nature. This book was released on 2023-07-15 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the reader to the hottest topics in current control sciences and robotics, as seen by scientists from Poland and other European countries. Volume 2 comprises 42 chapters, which specifically address topics connected to statistical and stochastic methods in control engineering applications, to optimization and quantum computing, to biological, medical, and ecological systems, to new applications of artificial intelligence and machine learning in automated and connected vehicles, to design and control of autonomous marine, robotics, and vehicles systems, and to other modern topics. The contributions were presented during XXI Polish Control Conference, held in Gliwice, Poland, from June 26 to 29, 2023. This book is extremely useful to all persons who want to know the latest trends in automation and robotics.
Author : Walter Van de Velde
Publisher : MIT Press
ISBN 13 : 9780262720175
Total Pages : 182 pages
Book Rating : 4.7/5 (21 download)
Download or read book Toward Learning Robots written by Walter Van de Velde and published by MIT Press. This book was released on 1993 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributions in Toward Learning Robots address the question of how a robot can be designed to acquire autonomously whatever it needs to realize adequate behavior in a complex environment. In-depth discussions of issues, techniques, and experiments in machine learning focus on improving ease of programming and enhancing robustness in unpredictable and changing environments, given limitations of time and resources available to researchers. The authors show practical progress toward a useful set of abstractions and techniques to describe and automate various aspects of learning in autonomous systems. The close interaction of such a system with the world reveals opportunities for new architectures and learning scenarios and for grounding symbolic representations, though such thorny problems as noise, choice of language, abstraction level of representation, and operationality have to be faced head-on. Contents Introduction: Toward Learning Robots * Learning Reliable Manipulation Strategies without Initial Physical Models * Learning by an Autonomous Agent in the Pushing Domain * A Cost-Sensitive Machine Learning Method for the Approach and Recognize Task * A Robot Exploration and Mapping Strategy Based on a Semantic Hierarchy of Spatial Representations * Understanding Object Motion: Recognition, Learning and Spatiotemporal Reasoning * Learning How to Plan * Robo-Soar: An Integration of External Interaction, Planning, and Learning Using Soar * Foundations of Learning in Autonomous Agents * Prior Knowledge and Autonomous Learning
Author : Hariharan Muthusamy
Publisher : Springer Nature
ISBN 13 : 9819902363
Total Pages : 600 pages
Book Rating : 4.8/5 (199 download)
Download or read book Robotics, Control and Computer Vision written by Hariharan Muthusamy and published by Springer Nature. This book was released on 2023-06-26 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents select peer-reviewed papers from the International Conference on Robotics, Control, and Computer Vision (ICRCCV 2022). The contents focus on the latest research in the field of Robotics, their control, and computer vision in the context of robotics. The contributed papers have been arranged to give a flow to the reader. This book will be useful for students, researchers, and professionals from multidisciplinary fields such as mechanical engineering, electronics engineering, electrical engineering, computer science, and mathematics.
Author : Salvador Pacheco-Gutierrez
Publisher : Springer Nature
ISBN 13 : 303115908X
Total Pages : 333 pages
Book Rating : 4.0/5 (311 download)
Download or read book Towards Autonomous Robotic Systems written by Salvador Pacheco-Gutierrez and published by Springer Nature. This book was released on 2022-09-02 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume LNAI 13546 constitutes the refereed proceedings of the 23rd Annual Conference Towards Autonomous Robotic Systems, TAROS 2022, held in Culham, UK, in September 2022. The 14 full papers and 10 short papers were carefully reviewed and selected from 38 submissions. Organized in the topical sections "Algorithms" and "Systems", they discuss significant findings and advances in the following areas: Robotic Grippers and Manipulation; Soft Robotics, Sensing and Mobile Robots; Robotic Learning, Mapping and Planning; Robotic Systems and Applications.
