Learning And Optimization Methods For High Level Planning

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Learning and Optimization Methods for High Level Planning

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Author : Matt Zucker
Publisher :
ISBN 13 :
Total Pages : 95 pages
Book Rating : 4.:/5 (733 download)

Book Synopsis Learning and Optimization Methods for High Level Planning by : Matt Zucker

Download or read book Learning and Optimization Methods for High Level Planning written by Matt Zucker and published by . This book was released on 2010 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Motion planning for complex systems such as legged robots and mobile manipulators has proven to be a difficult task due to the high dimensional configuration spaces that underly such systems, and also due to the variety of constraints which must be met at all times. One way to escape the so-called 'curse of dimensionality', or exponential explosion of search space, is to create a hierarchy of planners and controllers which at its highest level reasons about sequences of coarse behaviors operating on a simplified model of the system. This high level approach to robot behavior planning has been used successfully for several diverse robotic platforms, including footstep planning for the rough terrain quadruped described in this thesis. Despite its advantages, high level planning introduces several challenges of its own. Because the planner considers a coarse approximation of reality, it is typically difficult -- if not impossible -- to directly optimize its performance with respect to a concrete objective in the real world. Furthermore, since different modules of the planning and control hierarchy reason about the system in varying granularity, care needs to be taken to ensure that the planner does not commit to actions at a coarse level of planning which are in fact infeasible in reality. This thesis describes broad strategies for addressing the challenges of high level planning for robotic systems, harnessing both numerical optimization and machine learning techniques in order to produce effective behaviors in real time. These frameworks and algorithms are demonstrated on the Boston Dynamics Inc. LittleDog quadruped robot in the context of rough terrain locomotion."

Assistive Robotics - Proceedings Of The 18th International Conference On Climbing And Walking Robots And The Support Technologies For Mobile Machines (Clawar 2015)

Download Assistive Robotics - Proceedings Of The 18th International Conference On Climbing And Walking Robots And The Support Technologies For Mobile Machines (Clawar 2015) PDF Online Free

Author : Mohammad Osman Tokhi
Publisher : World Scientific
ISBN 13 : 9814725250
Total Pages : 783 pages
Book Rating : 4.8/5 (147 download)

Book Synopsis Assistive Robotics - Proceedings Of The 18th International Conference On Climbing And Walking Robots And The Support Technologies For Mobile Machines (Clawar 2015) by : Mohammad Osman Tokhi

Download or read book Assistive Robotics - Proceedings Of The 18th International Conference On Climbing And Walking Robots And The Support Technologies For Mobile Machines (Clawar 2015) written by Mohammad Osman Tokhi and published by World Scientific. This book was released on 2015-08-13 with total page 783 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides state-of-the-art scientific and engineering research findings and developments in the area of mobile robotics and associated support technologies around the theme of assistive robotics. The book contains peer reviewed articles presented at the CLAWAR 2015 conference. The book contains a comprehensive collection of papers on legged locomotion with numbers of legs from two upward to multi-legs, which includes robots cable of climbing walls, poles, or more complex structures such as continuing the distinctive CLAWAR themes. There are also a strong showing of articles covering human assist devices, notably exoskeletal and prosthetic devices, as well as social robots designed to meet the growing challenges of global ageing population.

Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems

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Author : Vipin Kumar Kukkala
Publisher : Springer Nature
ISBN 13 : 3031280164
Total Pages : 782 pages
Book Rating : 4.0/5 (312 download)

Book Synopsis Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems by : Vipin Kumar Kukkala

Download or read book Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems written by Vipin Kumar Kukkala and published by Springer Nature. This book was released on 2023-10-03 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive coverage of various solutions that address issues related to real-time performance, security, and robustness in emerging automotive platforms. The authors discuss recent advances towards the goal of enabling reliable, secure, and robust, time-critical automotive cyber-physical systems, using advanced optimization and machine learning techniques. The focus is on presenting state-of-the-art solutions to various challenges including real-time data scheduling, secure communication within and outside the vehicle, tolerance to faults, optimizing the use of resource-constrained automotive ECUs, intrusion detection, and developing robust perception and control techniques for increasingly autonomous vehicles.

Planning Algorithms

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Author : Steven M. LaValle
Publisher : Cambridge University Press
ISBN 13 : 9780521862059
Total Pages : 844 pages
Book Rating : 4.8/5 (62 download)

Book Synopsis Planning Algorithms by : Steven M. LaValle

Download or read book Planning Algorithms written by Steven M. LaValle and published by Cambridge University Press. This book was released on 2006-05-29 with total page 844 pages. Available in PDF, EPUB and Kindle. Book excerpt: Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, drug design, and protein folding. Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that tightly integrates a vast body of literature from several fields into a coherent source for teaching and reference in a wide variety of applications. Difficult mathematical material is explained through hundreds of examples and illustrations.

Machine Learning and Optimization Models for Optimization in Cloud

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Author : Punit Gupta
Publisher : CRC Press
ISBN 13 : 1000542254
Total Pages : 219 pages
Book Rating : 4.0/5 (5 download)

Book Synopsis Machine Learning and Optimization Models for Optimization in Cloud by : Punit Gupta

Download or read book Machine Learning and Optimization Models for Optimization in Cloud written by Punit Gupta and published by CRC Press. This book was released on 2022-02-27 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Models for Optimization in Cloud’s main aim is to meet the user requirement with high quality of service, least time for computation and high reliability. With increase in services migrating over cloud providers, the load over the cloud increases resulting in fault and various security failure in the system results in decreasing reliability. To fulfill this requirement cloud system uses intelligent metaheuristic and prediction algorithm to provide resources to the user in an efficient manner to manage the performance of the system and plan for upcoming requests. Intelligent algorithm helps the system to predict and find a suitable resource for a cloud environment in real time with least computational complexity taking into mind the system performance in under loaded and over loaded condition. This book discusses the future improvements and possible intelligent optimization models using artificial intelligence, deep learning techniques and other hybrid models to improve the performance of cloud. Various methods to enhance the directivity of cloud services have been presented which would enable cloud to provide better services, performance and quality of service to user. It talks about the next generation intelligent optimization and fault model to improve security and reliability of cloud. Key Features · Comprehensive introduction to cloud architecture and its service models. · Vulnerability and issues in cloud SAAS, PAAS and IAAS · Fundamental issues related to optimizing the performance in Cloud Computing using meta-heuristic, AI and ML models · Detailed study of optimization techniques, and fault management techniques in multi layered cloud. · Methods to improve reliability and fault in cloud using nature inspired algorithms and artificial neural network. · Advanced study of algorithms using artificial intelligence for optimization in cloud · Method for power efficient virtual machine placement using neural network in cloud · Method for task scheduling using metaheuristic algorithms. · A study of machine learning and deep learning inspired resource allocation algorithm for cloud in fault aware environment. This book aims to create a research interest & motivation for graduates degree or post-graduates. It aims to present a study on optimization algorithms in cloud for researchers to provide them with a glimpse of future of cloud computing in the era of artificial intelligence.

Proceedings of the 2018 International Symposium on Experimental Robotics

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Author : Jing Xiao
Publisher : Springer Nature
ISBN 13 : 3030339505
Total Pages : 804 pages
Book Rating : 4.0/5 (33 download)

Book Synopsis Proceedings of the 2018 International Symposium on Experimental Robotics by : Jing Xiao

Download or read book Proceedings of the 2018 International Symposium on Experimental Robotics written by Jing Xiao and published by Springer Nature. This book was released on 2020-01-22 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt: In addition to the contributions presented at the 2018 International Symposium on Experimental Robotics (ISER 2018), this book features summaries of the discussions that were held during the event in Buenos Aires, Argentina. These summaries, authored by leading researchers and session organizers, offer important insights on the issues that drove the symposium debates. Readers will find cutting-edge experimental research results from a range of robotics domains, such as medical robotics, unmanned aerial vehicles, mobile robot navigation, mapping and localization, field robotics, robot learning, robotic manipulation, human–robot interaction, and design and prototyping. In this unique collection of the latest experimental robotics work, the common thread is the experimental testing and validation of new ideas and methodologies. The International Symposium on Experimental Robotics is a series of bi-annual symposia sponsored by the International Foundation of Robotics Research, whose goal is to provide a dedicated forum for experimental robotics research. In recent years, robotics has broadened its scientific scope, deepened its methodologies and expanded its applications. However, the significance of experiments remains at the heart of the discipline. The ISER gatherings are an essential venue where scientists can meet and have in-depth discussions on robotics based on this central tenet.

Optimization for Machine Learning

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Author : Suvrit Sra
Publisher : MIT Press
ISBN 13 : 026201646X
Total Pages : 509 pages
Book Rating : 4.2/5 (62 download)

Book Synopsis Optimization for Machine Learning by : Suvrit Sra

Download or read book Optimization for Machine Learning written by Suvrit Sra and published by MIT Press. This book was released on 2012 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to extract essential knowledge from huge volumes of data. Machine learning, however, is not simply a consumer of optimization technology but a rapidly evolving field that is itself generating new optimization ideas. This book captures the state of the art of the interaction between optimization and machine learning in a way that is accessible to researchers in both fields. Optimization approaches have enjoyed prominence in machine learning because of their wide applicability and attractive theoretical properties. The increasing complexity, size, and variety of today's machine learning models call for the reassessment of existing assumptions. This book starts the process of reassessment. It describes the resurgence in novel contexts of established frameworks such as first-order methods, stochastic approximations, convex relaxations, interior-point methods, and proximal methods. It also devotes attention to newer themes such as regularized optimization, robust optimization, gradient and subgradient methods, splitting techniques, and second-order methods. Many of these techniques draw inspiration from other fields, including operations research, theoretical computer science, and subfields of optimization. The book will enrich the ongoing cross-fertilization between the machine learning community and these other fields, and within the broader optimization community.

32nd European Symposium on Computer Aided Process Engineering

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Author : Ludovic Montastruc
Publisher : Elsevier
ISBN 13 : 032395880X
Total Pages : 1760 pages
Book Rating : 4.3/5 (239 download)

Book Synopsis 32nd European Symposium on Computer Aided Process Engineering by : Ludovic Montastruc

Download or read book 32nd European Symposium on Computer Aided Process Engineering written by Ludovic Montastruc and published by Elsevier. This book was released on 2022-06-30 with total page 1760 pages. Available in PDF, EPUB and Kindle. Book excerpt: 32nd European Symposium on Computer Aided Process Engineering: ESCAPE-32 contains the papers presented at the 32nd European Symposium of Computer Aided Process Engineering (ESCAPE) event held in Toulouse, France. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students and consultants for chemical industries who work in process development and design. Presents findings and discussions from the 32nd European Symposium of Computer Aided Process Engineering (ESCAPE) event

Robotics

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Author : Nicholas Roy
Publisher : MIT Press
ISBN 13 : 0262519682
Total Pages : 501 pages
Book Rating : 4.2/5 (625 download)

Book Synopsis Robotics by : Nicholas Roy

Download or read book Robotics written by Nicholas Roy and published by MIT Press. This book was released on 2013-07-05 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robotics: Science and Systems VIII spans a wide spectrum of robotics, bringing together contributions from researchers working on the mathematical foundations of robotics, robotics applications, and analysis of robotics systems.

Reinforcement Learning, second edition

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Author : Richard S. Sutton
Publisher : MIT Press
ISBN 13 : 0262352702
Total Pages : 549 pages
Book Rating : 4.2/5 (623 download)

Book Synopsis Reinforcement Learning, second edition by : Richard S. Sutton

Download or read book Reinforcement Learning, second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

Automated Machine Learning

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Author : Frank Hutter
Publisher : Springer
ISBN 13 : 3030053180
Total Pages : 223 pages
Book Rating : 4.0/5 (3 download)

Book Synopsis Automated Machine Learning by : Frank Hutter

Download or read book Automated Machine Learning written by Frank Hutter and published by Springer. This book was released on 2019-05-17 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.

Advanced technologies for planning and operation of prosumer energy systems

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Author : Bin Zhou
Publisher : Frontiers Media SA
ISBN 13 : 2832513255
Total Pages : 1092 pages
Book Rating : 4.8/5 (325 download)

Book Synopsis Advanced technologies for planning and operation of prosumer energy systems by : Bin Zhou

Download or read book Advanced technologies for planning and operation of prosumer energy systems written by Bin Zhou and published by Frontiers Media SA. This book was released on 2023-04-28 with total page 1092 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mastering Robot dynamics

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Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 302 pages
Book Rating : 4.8/5 (668 download)

Book Synopsis Mastering Robot dynamics by : Cybellium Ltd

Download or read book Mastering Robot dynamics written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embark on an Enlightening Journey to "Mastering Robot Dynamics" In a world driven by automation and robotics, mastering the intricacies of robot dynamics is pivotal for creating advanced robotic systems that move with precision and intelligence. "Mastering Robot Dynamics" is your ultimate guide to navigating the complex world of robot motion, control, and manipulation. Whether you're an engineer, researcher, robotics enthusiast, or student, this book equips you with the knowledge and skills needed to excel in designing and controlling sophisticated robotic mechanisms. About the Book: "Mastering Robot Dynamics" takes you on a transformative journey through the intricacies of robot motion and control, from foundational concepts to advanced techniques. From kinematics and dynamics to trajectory planning and real-time control, this book covers it all. Each chapter is meticulously designed to provide both a deep understanding of the principles and practical applications in real-world robotic scenarios. Key Features: · Foundational Understanding: Build a solid foundation by comprehending the core principles of robot dynamics, including kinematics, inertia, and motion equations. · Robot Kinematics: Explore forward and inverse kinematics, understanding how robots move and calculating joint configurations. · Robot Dynamics: Dive into the study of forces, torques, and motion equations, learning how robots interact with their environments. · Trajectory Planning: Master the art of planning robot paths and trajectories, considering constraints and optimizing motion sequences. · Sensors and Perception: Gain insights into sensor integration, perception systems, and how robots interact with the world through feedback. · Motion Control: Learn about different types of control strategies, from PID control to advanced techniques like model predictive control. · Collision Avoidance: Understand methods for detecting and avoiding collisions, ensuring safety and reliability in robot operations. · Robot Manipulation: Explore techniques for manipulating objects, including grasp planning, manipulation tasks, and robotic arms. · Challenges and Trends: Discover challenges in robot dynamics, from sensor noise to complex control algorithms, and explore emerging trends shaping the future of robotics. Who This Book Is For: "Mastering Robot Dynamics" is designed for engineers, researchers, robotics enthusiasts, students, and anyone passionate about robotics. Whether you're aiming to enhance your skills or embark on a journey toward becoming a robotics expert, this book provides the insights and tools to navigate the complexities of designing and controlling robotic systems. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Proceedings of the International Conference on Advanced Mechanical Engineering, Automation, and Sustainable Development 2021 (AMAS2021)

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Author : Banh Tien Long
Publisher : Springer Nature
ISBN 13 : 3030996662
Total Pages : 982 pages
Book Rating : 4.0/5 (39 download)

Book Synopsis Proceedings of the International Conference on Advanced Mechanical Engineering, Automation, and Sustainable Development 2021 (AMAS2021) by : Banh Tien Long

Download or read book Proceedings of the International Conference on Advanced Mechanical Engineering, Automation, and Sustainable Development 2021 (AMAS2021) written by Banh Tien Long and published by Springer Nature. This book was released on 2022-05-03 with total page 982 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected, peer-reviewed proceedings of the International Conference on Advanced Mechanical Engineering, Automation and Sustainable Development 2021 (AMAS2021), held in the city of Ha Long, Vietnam, from November 4 to 7, 2021. AMAS2021 is a special meeting of the International Conference on Material, Machines and Methods for Sustainable Development (MMMS), with a strong focus on automation and fostering an overall approach to assist policy makers, industries, and researchers at various levels to position local technological development toward sustainable development. The contributions published in this book stem from a wide spectrum of research, ranging from micro- and nanomaterial design and processing, to special applications in mechanical technology, environmental protection, green development, and climate change mitigation. A large group of contributions selected for these proceedings also focus on modeling and manufacturing of ecomaterials.

Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast

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Author : Federico Divina
Publisher : MDPI
ISBN 13 : 3036508627
Total Pages : 100 pages
Book Rating : 4.0/5 (365 download)

Book Synopsis Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast by : Federico Divina

Download or read book Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast written by Federico Divina and published by MDPI. This book was released on 2021-08-30 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of data collectors in energy systems is growing more and more. For example, smart sensors are now widely used in energy production and energy consumption systems. This implies that huge amounts of data are generated and need to be analyzed in order to extract useful insights from them. Such big data give rise to a number of opportunities and challenges for informed decision making. In recent years, researchers have been working very actively in order to come up with effective and powerful techniques in order to deal with the huge amount of data available. Such approaches can be used in the context of energy production and consumption considering the amount of data produced by all samples and measurements, as well as including many additional features. With them, automated machine learning methods for extracting relevant patterns, high-performance computing, or data visualization are being successfully applied to energy demand forecasting.

Metaheuristic Optimization Algorithms

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Author : Laith Abualigah
Publisher : Elsevier
ISBN 13 : 0443139261
Total Pages : 291 pages
Book Rating : 4.4/5 (431 download)

Book Synopsis Metaheuristic Optimization Algorithms by : Laith Abualigah

Download or read book Metaheuristic Optimization Algorithms written by Laith Abualigah and published by Elsevier. This book was released on 2024-05-05 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metaheuristic Optimization Algorithms: Optimizers, Analysis, and Applications presents the most recent optimization algorithms and their applications across a wide range of scientific and engineering research fields. Metaheuristic Optimization Algorithms have become indispensable tools, with applications in data analysis, text mining, classification problems, computer vision, image analysis, pattern recognition, medicine, and many others. Most complex systems problems involve a continuous flow of data that makes it impossible to manage and analyze manually. The outcome depends on the processing of high-dimensional data, most of it irregular and unordered, present in various forms such as text, images, videos, audio, and graphics. The authors of Meta-Heuristic Optimization Algorithms provide readers with a comprehensive overview of eighteen optimization algorithms to address this complex data, including Particle Swarm Optimization Algorithm, Arithmetic Optimization Algorithm, Whale Optimization Algorithm, and Marine Predators Algorithm, along with new and emerging methods such as Aquila Optimizer, Quantum Approximate Optimization Algorithm, Manta-Ray Foraging Optimization Algorithm, and Gradient Based Optimizer, among others. Each chapter includes an introduction to the modeling concepts used to create the algorithm, followed by the mathematical and procedural structure of the algorithm, associated pseudocode, and real-world case studies to demonstrate how each algorithm can be applied to a variety of scientific and engineering solutions. World-renowned researchers and practitioners in Metaheuristics present the procedures and pseudocode for creating a wide range of optimization algorithms Helps readers formulate and design the best optimization algorithms for their research goals through case studies in a variety of real-world applications Helps readers understand the links between Metaheuristic algorithms and their application in Computational Intelligence, Machine Learning, and Deep Learning problems

Advanced Manufacturing and Automation XIII

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Author : Yi Wang
Publisher : Springer Nature
ISBN 13 : 9819706653
Total Pages : 774 pages
Book Rating : 4.8/5 (197 download)

Book Synopsis Advanced Manufacturing and Automation XIII by : Yi Wang

Download or read book Advanced Manufacturing and Automation XIII written by Yi Wang and published by Springer Nature. This book was released on with total page 774 pages. Available in PDF, EPUB and Kindle. Book excerpt: