Coordinated Multi Agent Motion Planning Under Realistic Constraints
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| Author | : Emilio Frazzoli |
| Publisher | : Springer |
| Total Pages | : 625 |
| Release | : 2013-02-14 |
| Genre | : Technology & Engineering |
| ISBN | : 3642362796 |
Algorithms are a fundamental component of robotic systems. Robot algorithms process inputs from sensors that provide noisy and partial data, build geometric and physical models of the world, plan high-and low-level actions at different time horizons, and execute these actions on actuators with limited precision. The design and analysis of robot algorithms raise a unique combination of questions from many elds, including control theory, computational geometry and topology, geometrical and physical modeling, reasoning under uncertainty, probabilistic algorithms, game theory, and theoretical computer science. The Workshop on Algorithmic Foundations of Robotics (WAFR) is a single-track meeting of leading researchers in the eld of robot algorithms. Since its inception in 1994, WAFR has been held every other year, and has provided one of the premiere venues for the publication of some of the eld's most important and lasting contributions. This books contains the proceedings of the tenth WAFR, held on June 13{15 2012 at the Massachusetts Institute of Technology. The 37 papers included in this book cover a broad range of topics, from fundamental theoretical issues in robot motion planning, control, and perception, to novel applications.
| Author | : Arup Kumar Sadhu |
| Publisher | : John Wiley & Sons |
| Total Pages | : 320 |
| Release | : 2020-12-03 |
| Genre | : Computers |
| ISBN | : 1119699037 |
Discover the latest developments in multi-robot coordination techniques with this insightful and original resource Multi-Agent Coordination: A Reinforcement Learning Approach delivers a comprehensive, insightful, and unique treatment of the development of multi-robot coordination algorithms with minimal computational burden and reduced storage requirements when compared to traditional algorithms. The accomplished academics, engineers, and authors provide readers with both a high-level introduction to, and overview of, multi-robot coordination, and in-depth analyses of learning-based planning algorithms. You'll learn about how to accelerate the exploration of the team-goal and alternative approaches to speeding up the convergence of TMAQL by identifying the preferred joint action for the team. The authors also propose novel approaches to consensus Q-learning that address the equilibrium selection problem and a new way of evaluating the threshold value for uniting empires without imposing any significant computation overhead. Finally, the book concludes with an examination of the likely direction of future research in this rapidly developing field. Readers will discover cutting-edge techniques for multi-agent coordination, including: An introduction to multi-agent coordination by reinforcement learning and evolutionary algorithms, including topics like the Nash equilibrium and correlated equilibrium Improving convergence speed of multi-agent Q-learning for cooperative task planning Consensus Q-learning for multi-agent cooperative planning The efficient computing of correlated equilibrium for cooperative q-learning based multi-agent planning A modified imperialist competitive algorithm for multi-agent stick-carrying applications Perfect for academics, engineers, and professionals who regularly work with multi-agent learning algorithms, Multi-Agent Coordination: A Reinforcement Learning Approach also belongs on the bookshelves of anyone with an advanced interest in machine learning and artificial intelligence as it applies to the field of cooperative or competitive robotics.
| Author | : Yue Wang |
| Publisher | : John Wiley & Sons |
| Total Pages | : 335 |
| Release | : 2017-03-20 |
| Genre | : Technology & Engineering |
| ISBN | : 1119266211 |
A comprehensive review of the state of the art in the control of multi-agent systems theory and applications The superiority of multi-agent systems over single agents for the control of unmanned air, water and ground vehicles has been clearly demonstrated in a wide range of application areas. Their large-scale spatial distribution, robustness, high scalability and low cost enable multi-agent systems to achieve tasks that could not successfully be performed by even the most sophisticated single agent systems. Cooperative Control of Multi-Agent Systems: Theory and Applications provides a wide-ranging review of the latest developments in the cooperative control of multi-agent systems theory and applications. The applications described are mainly in the areas of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). Throughout, the authors link basic theory to multi-agent cooperative control practice — illustrated within the context of highly-realistic scenarios of high-level missions — without losing site of the mathematical background needed to provide performance guarantees under general working conditions. Many of the problems and solutions considered involve combinations of both types of vehicles. Topics explored include target assignment, target tracking, consensus, stochastic game theory-based framework, event-triggered control, topology design and identification, coordination under uncertainty and coverage control. Establishes a bridge between fundamental cooperative control theory and specific problems of interest in a wide range of applications areas Includes example applications from the fields of space exploration, radiation shielding, site clearance, tracking/classification, surveillance, search-and-rescue and more Features detailed presentations of specific algorithms and application frameworks with relevant commercial and military applications Provides a comprehensive look at the latest developments in this rapidly evolving field, while offering informed speculation on future directions for collective control systems The use of multi-agent system technologies in both everyday commercial use and national defense is certain to increase tremendously in the years ahead, making this book a valuable resource for researchers, engineers, and applied mathematicians working in systems and controls, as well as advanced undergraduates and graduate students interested in those areas.
| Author | : Dalila Durães |
| Publisher | : Springer Nature |
| Total Pages | : 190 |
| Release | : 2023-07-07 |
| Genre | : Computers |
| ISBN | : 3031375939 |
This book constitutes the refereed proceedings of the International Workshops on Highlights in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection, PAAMS 2023, held in Guimaraes, Portugal, during July 12–14, 2023. The 14 full papers included in this book were carefully reviewed and selected from 26 submissions. They were organized in topical sections as follows: provides a unique opportunity to bring multi-disciplinary experts, academics, and practitioners together to exchange their experience in the development of agents and multi-agent systems.
| Author | : Zain Anwar Ali |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 152 |
| Release | : 2024-01-17 |
| Genre | : Science |
| ISBN | : 0854660593 |
This book, Motion Planning for Dynamic Agents, presents a thorough overview of current advancements and provides insights into the fascinating and vital field of aeronautics. It focuses on modern research and development, with an emphasis on dynamic agents. The chapters address a wide range of complex capabilities, including formation control, guidance and navigation, control techniques, wide-space coverage for inspection and exploration, and the best pathfinding in unknown territory. This book is a valuable resource for scholars, practitioners, and amateurs alike due to the variety of perspectives that are included, which help readers gain a sophisticated understanding of the difficulties and developments in the area of study.
| Author | : Steven M. LaValle |
| Publisher | : Cambridge University Press |
| Total Pages | : 844 |
| Release | : 2006-05-29 |
| Genre | : Computers |
| ISBN | : 9780521862059 |
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.
| Author | : Jianghai Hu |
| Publisher | : |
| Total Pages | : 338 |
| Release | : 2003 |
| Genre | : |
| ISBN | : |
| Author | : Yves Demazeau |
| Publisher | : Springer |
| Total Pages | : 343 |
| Release | : 2013-04-17 |
| Genre | : Computers |
| ISBN | : 3642380735 |
This book constitutes the refereed proceedings of the 11th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2013, held in Salamanca, Spain, in May 2013. The 14 revised full papers and 9 short papers presented together with 16 demonstrations were carefully reviewed and selected from 70 submissions. The papers report on the application and validation of agent-based models, methods, and technologies in a number of key application areas, including: agents for real world problems; crowd modeling and analysis; decision making and discovery; interaction with artificial agents; mobility, ubiquity and clouds; (multi-)agent design technology; and simulation and organization.
| Author | : Francien Dechesne |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 525 |
| Release | : 2012-01-10 |
| Genre | : Business & Economics |
| ISBN | : 3642272150 |
This book constitutes the thoroughly refereed post-workshop proceedings of 5 workshops, held at the 10th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2011, in Taipei, Taiwan, May 2-6, 2011. The 37 revised full papers presented together with 1 invited paper were carefully reviewed and selected from numerous submissions. The papers are organized in sections on the workshops Agent-Based Modeling for Policy Engineering (AMPLE), Agent-Oriented Software Engineering (AOSE), Autonomous Robots and Multirobot Systems (ARMS), Data Oriented Constructive Mining and Multi-Agent Simulation, Massively Multi-Agent Systems: Models, Methods and Tools (DOCM3AS), and Infrastructures and Tools for Multiagent Systems (ITMAS).
| Author | : Habib M. Ammari |
| Publisher | : Springer Nature |
| Total Pages | : 797 |
| Release | : 2019-09-18 |
| Genre | : Technology & Engineering |
| ISBN | : 3319923846 |
This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.
