Distributed Optimisation for Multi-Robot Cooperative Manipulation Control in Dynamic Environments

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Publisher : Logos Verlag Berlin GmbH
ISBN 13 : 3832554408
Total Pages : 188 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Distributed Optimisation for Multi-Robot Cooperative Manipulation Control in Dynamic Environments by : Yanhao He

Download or read book Distributed Optimisation for Multi-Robot Cooperative Manipulation Control in Dynamic Environments written by Yanhao He and published by Logos Verlag Berlin GmbH. This book was released on 2022-12-15 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the manipulation tasks for robotic systems become more and more complicated, multi-robot cooperation has been attracting much attention recently. Furthermore, under the trend of human-robot co-existence, collision-free motion control is now also desired on multi-robot groups. This dissertation aims to design a novel distributed optimal control framework to deal with multi-robot cooperative manipulation of rigid objects in dynamic environments. Besides object transportation, the control scheme also tackles obstacle avoidance, joint-space performance optimisation and internal force suppression. The proposed control framework has a two-layer structure, with a distributed optimisation algorithm in the kinematic layer for generating proper joint configuration references, followed by a robot motion controller in the dynamic control layer to fulfil the reference. An indirect and a direct distributed optimisation method are developed for the kinematic layer, both of which are computationally and communicationally efficient. In the dynamic control layer, impedance control is employed for safe physical interaction. As another highlight, abundant experiments carried out on a multi-arm test bench have demonstrated the effectiveness of the presented control schemes under various environmental and task settings. The recorded computation time shows the applicability of the control framework in practice.

Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments

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Publisher : Springer
ISBN 13 : 3319190725
Total Pages : 133 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments by : Minghui Zhu

Download or read book Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments written by Minghui Zhu and published by Springer. This book was released on 2015-06-11 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a concise and in-depth exposition of specific algorithmic solutions for distributed optimization based control of multi-agent networks and their performance analysis. It synthesizes and analyzes distributed strategies for three collaborative tasks: distributed cooperative optimization, mobile sensor deployment and multi-vehicle formation control. The book integrates miscellaneous ideas and tools from dynamic systems, control theory, graph theory, optimization, game theory and Markov chains to address the particular challenges introduced by such complexities in the environment as topological dynamics, environmental uncertainties, and potential cyber-attack by human adversaries. The book is written for first- or second-year graduate students in a variety of engineering disciplines, including control, robotics, decision-making, optimization and algorithms and with backgrounds in aerospace engineering, computer science, electrical engineering, mechanical engineering and operations research. Researchers in these areas may also find the book useful as a reference.

Distributed Cooperative Control

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Publisher : John Wiley & Sons
ISBN 13 : 1119216109
Total Pages : 245 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Distributed Cooperative Control by : Yi Guo

Download or read book Distributed Cooperative Control written by Yi Guo and published by John Wiley & Sons. This book was released on 2017-03-03 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examines new cooperative control methodologies tailored to real-world applications in various domains such as in communication systems, physics systems, and multi-robotic systems Provides the fundamental mechanism for solving collective behaviors in naturally-occurring systems as well as cooperative behaviors in man-made systems Discusses cooperative control methodologies using real-world applications, including semi-conductor laser arrays, mobile sensor networks, and multi-robotic systems Includes results from the research group at the Stevens Institute of Technology to show how advanced control technologies can impact challenging issues, such as high energy systems and oil spill monitoring

Cooperative and Intelligent Control of Multi-robot Systems Using Machine Learning

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (68 download)

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Book Synopsis Cooperative and Intelligent Control of Multi-robot Systems Using Machine Learning by :

Download or read book Cooperative and Intelligent Control of Multi-robot Systems Using Machine Learning written by and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis investigates cooperative and intelligent control of autonomous multi-robot systems in a dynamic, unstructured and unknown environment and makes significant original contributions with regard to self-deterministic learning for robot cooperation, evolutionary optimization of robotic actions, improvement of system robustness, vision-based object tracking, and real-time performance. A distributed multi-robot architecture is developed which will facilitate operation of a cooperative multi-robot system in a dynamic and unknown environment in a self-improving, robust, and real-time manner. It is a fully distributed and hierarchical architecture with three levels. By combining several popular AI, soft computing, and control techniques such as learning, planning, reactive paradigm, optimization, and hybrid control, the developed architecture is expected to facilitate effective autonomous operation of cooperative multi-robot systems in a dynamically changing, unknown, and unstructured environment. A machine learning technique is incorporated into the developed multi-robot system for self-deterministic and self-improving cooperation and coping with uncertainties in the environment. A modified Q-learning algorithm termed Sequential Q-learning with Kalman Filtering (SQKF) is developed in the thesis, which can provide fast multi-robot learning. By arranging the robots to learn according to a predefined sequence, modeling the effect of the actions of other robots in the work environment as Gaussian white noise and estimating this noise online with a Kalman filter, the SQKF algorithm seeks to solve several key problems in multi-robot learning. As a part of low-level sensing and control in the proposed multi-robot architecture, a fast computer vision algorithm for color-blob tracking is developed to track multiple moving objects in the environment. By removing the brightness and saturation information in an image and filtering unrelated information based on statistical f.

Cooperative and Intelligent Control of Multi-robot Systems Using Machine Learning

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (654 download)

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Book Synopsis Cooperative and Intelligent Control of Multi-robot Systems Using Machine Learning by :

Download or read book Cooperative and Intelligent Control of Multi-robot Systems Using Machine Learning written by and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis investigates cooperative and intelligent control of autonomous multi-robot systems in a dynamic, unstructured and unknown environment and makes significant original contributions with regard to self-deterministic learning for robot cooperation, evolutionary optimization of robotic actions, improvement of system robustness, vision-based object tracking, and real-time performance. A distributed multi-robot architecture is developed which will facilitate operation of a cooperative multi-robot system in a dynamic and unknown environment in a self-improving, robust, and real-time manner. It is a fully distributed and hierarchical architecture with three levels. By combining several popular AI, soft computing, and control techniques such as learning, planning, reactive paradigm, optimization, and hybrid control, the developed architecture is expected to facilitate effective autonomous operation of cooperative multi-robot systems in a dynamically changing, unknown, and unstructured environment. A machine learning technique is incorporated into the developed multi-robot system for self-deterministic and self-improving cooperation and coping with uncertainties in the environment. A modified Q-learning algorithm termed Sequential Q-learning with Kalman Filtering (SQKF) is developed in the thesis, which can provide fast multi-robot learning. By arranging the robots to learn according to a predefined sequence, modeling the effect of the actions of other robots in the work environment as Gaussian white noise and estimating this noise online with a Kalman filter, the SQKF algorithm seeks to solve several key problems in multi-robot learning. As a part of low-level sensing and control in the proposed multi-robot architecture, a fast computer vision algorithm for color-blob tracking is developed to track multiple moving objects in the environment. By removing the brightness and saturation information in an image and filtering unrelated information based on statistical f.

Distributed Control of Multi-robot Teams

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Publisher :
ISBN 13 :
Total Pages : 6 pages
Book Rating : 4.:/5 (683 download)

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Book Synopsis Distributed Control of Multi-robot Teams by :

Download or read book Distributed Control of Multi-robot Teams written by and published by . This book was released on 1998 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research addresses the problem of achieving fault tolerant cooperation within small- to medium-sized teams of heterogeneous mobile robots. The author describes a novel behavior-based, fully distributed architecture, called ALLIANCE, that utilizes adaptive action selection to achieve fault tolerant cooperative control. The robots in this architecture possess a variety of high-level functions that they can perform during a mission, and must at all times select an appropriate action based on the requirements of the mission, the activities of other robots, the current environmental conditions, and their own internal states. Since such cooperative teams often work in dynamic and unpredictable environments, the software architecture allows the team members to respond robustly and reliably to unexpected environmental changes and modifications in the robot team that may occur due to mechanical failure, the learning of new skills, or the addition or removal of robots from the team by human intervention. After presenting ALLIANCE, they describe the implementation of this architecture on a team of physical mobile robots performing a cooperative baton passing task. These experiments illustrate the ability of ALLIANCE to achieve adaptive, fault-tolerant cooperative control amidst dynamic changes during the task.

Distributed Consensus with Visual Perception in Multi-Robot Systems

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Author :
Publisher : Springer
ISBN 13 : 3319156993
Total Pages : 166 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Distributed Consensus with Visual Perception in Multi-Robot Systems by : Eduardo Montijano

Download or read book Distributed Consensus with Visual Perception in Multi-Robot Systems written by Eduardo Montijano and published by Springer. This book was released on 2015-02-23 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph introduces novel responses to the different problems that arise when multiple robots need to execute a task in cooperation, each robot in the team having a monocular camera as its primary input sensor. Its central proposition is that a consistent perception of the world is crucial for the good development of any multi-robot application. The text focuses on the high-level problem of cooperative perception by a multi-robot system: the idea that, depending on what each robot sees and its current situation, it will need to communicate these things to its fellows whenever possible to share what it has found and keep updated by them in its turn. However, in any realistic scenario, distributed solutions to this problem are not trivial and need to be addressed from as many angles as possible. Distributed Consensus with Visual Perception in Multi-Robot Systems covers a variety of related topics such as: • distributed consensus algorithms; • data association and robustness problems; • convergence speed; and • cooperative mapping. The book first puts forward algorithmic solutions to these problems and then supports them with empirical validations working with real images. It provides the reader with a deeper understanding of the problems associated to the perception of the world by a team of cooperating robots with onboard cameras. Academic researchers and graduate students working with multi-robot systems, or investigating problems of distributed control or computer vision and cooperative perception will find this book of material assistance with their studies.

Formation Control

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Publisher : Springer
ISBN 13 : 3030151875
Total Pages : 360 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Formation Control by : Hyo-Sung Ahn

Download or read book Formation Control written by Hyo-Sung Ahn and published by Springer. This book was released on 2019-03-29 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph introduces recent developments in formation control of distributed-agent systems. Eschewing the traditional concern with the dynamic characteristics of individual agents, the book proposes a treatment that studies the formation control problem in terms of interactions among agents including factors such as sensing topology, communication and actuation topologies, and computations. Keeping pace with recent technological advancements in control, communications, sensing and computation that have begun to bring the applications of distributed-systems theory out of the industrial sphere and into that of day-to-day life, this monograph provides distributed control algorithms for a group of agents that may behave together. Unlike traditional control laws that usually require measurements with respect to a global coordinate frame and communications between a centralized operation center and agents, this book provides control laws that require only relative measurements and communications between agents without interaction with a centralized operator. Since the control algorithms presented in this book do not require any global sensing and any information exchanges with a centralized operation center, they can be realized in a fully distributed way, which significantly reduces the operation and implementation costs of a group of agents. Formation Control will give both students and researchers interested in pursuing this field a good grounding on which to base their work.

Cooperative Control and Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 1402005490
Total Pages : 306 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Cooperative Control and Optimization by : Robert Murphey

Download or read book Cooperative Control and Optimization written by Robert Murphey and published by Springer Science & Business Media. This book was released on 2002-05-31 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Table of contents

Cooperative Control of Distributed Multi-Agent Systems

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Publisher : John Wiley & Sons
ISBN 13 : 9780470724194
Total Pages : 452 pages
Book Rating : 4.7/5 (241 download)

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Book Synopsis Cooperative Control of Distributed Multi-Agent Systems by : Jeff Shamma

Download or read book Cooperative Control of Distributed Multi-Agent Systems written by Jeff Shamma and published by John Wiley & Sons. This book was released on 2008-02-28 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: The paradigm of ‘multi-agent’ cooperative control is the challenge frontier for new control system application domains, and as a research area it has experienced a considerable increase in activity in recent years. This volume, the result of a UCLA collaborative project with Caltech, Cornell and MIT, presents cutting edge results in terms of the “dimensions” of cooperative control from leading researchers worldwide. This dimensional decomposition allows the reader to assess the multi-faceted landscape of cooperative control. Cooperative Control of Distributed Multi-Agent Systems is organized into four main themes, or dimensions, of cooperative control: distributed control and computation, adversarial interactions, uncertain evolution and complexity management. The military application of autonomous vehicles systems or multiple unmanned vehicles is primarily targeted; however much of the material is relevant to a broader range of multi-agent systems including cooperative robotics, distributed computing, sensor networks and data network congestion control. Cooperative Control of Distributed Multi-Agent Systems offers the reader an organized presentation of a variety of recent research advances, supporting software and experimental data on the resolution of the cooperative control problem. It will appeal to senior academics, researchers and graduate students as well as engineers working in the areas of cooperative systems, control and optimization.

Cooperative Control of Dynamical Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1848823258
Total Pages : 335 pages
Book Rating : 4.8/5 (488 download)

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Book Synopsis Cooperative Control of Dynamical Systems by : Zhihua Qu

Download or read book Cooperative Control of Dynamical Systems written by Zhihua Qu and published by Springer Science & Business Media. This book was released on 2009-02-07 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stability theory has allowed us to study both qualitative and quantitative properties of dynamical systems, and control theory has played a key role in designing numerous systems. Contemporary sensing and communication n- works enable collection and subscription of geographically-distributed inf- mation and such information can be used to enhance signi?cantly the perf- manceofmanyofexisting systems. Throughasharedsensing/communication network,heterogeneoussystemscannowbecontrolledtooperaterobustlyand autonomously; cooperative control is to make the systems act as one group and exhibit certain cooperative behavior, and it must be pliable to physical and environmental constraints as well as be robust to intermittency, latency and changing patterns of the information ?ow in the network. This book attempts to provide a detailed coverage on the tools of and the results on analyzing and synthesizing cooperative systems. Dynamical systems under consideration can be either continuous-time or discrete-time, either linear or non-linear, and either unconstrained or constrained. Technical contents of the book are divided into three parts. The ?rst part consists of Chapters 1, 2, and 4. Chapter 1 provides an overview of coope- tive behaviors, kinematical and dynamical modeling approaches, and typical vehicle models. Chapter 2 contains a review of standard analysis and design tools in both linear control theory and non-linear control theory. Chapter 4 is a focused treatment of non-negativematrices and their properties,multipli- tive sequence convergence of non-negative and row-stochastic matrices, and the presence of these matrices and sequences in linear cooperative systems.

Multi-Arm Cooperating Robots

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Publisher : Springer Science & Business Media
ISBN 13 : 1402042698
Total Pages : 298 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Multi-Arm Cooperating Robots by : M.D. Zivanovic

Download or read book Multi-Arm Cooperating Robots written by M.D. Zivanovic and published by Springer Science & Business Media. This book was released on 2006-07-09 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Several consistent solutions for cooperative system control have recently been identified by the authors of the current monograph. This was achieved by solving three separate tasks that are essential for solving the problem of cooperative manipulation as a whole. The first task is related to the understanding of the physical nature of cooperative manipulation and finding a way for a sufficiently exact characterization of cooperative system statics, kinematics and dynamics. After successfully completing this task, in the frame of the second task, the problem of coordinated motion of the cooperative system is solved. Finally, as a solution to the third task, the control laws of cooperative manipulation are synthesized. The starting point in dealing with the above three tasks of cooperative manipulation was the assumption that the problem of force uncertainty in cooperative manipulation can be resolved by introducing elastic properties into the cooperative system, at least in the part where force uncertainty appears. In static and dynamic analysis of the elastic structure of cooperative systems the finite element method is applied. In contrast to the procedure used in the major part of the available literature where deformation work is expressed by deviations from the unloaded state of fixed elastic structure, in this monograph the deformation work is expressed by internal forces as a function of the absolute coordinates of contacts of mobile elastic structure. Coordinated motion and control in cooperative manipulation are solved as the problem of coordinated motion and control of a mobile elastic structure, taking into account the specific features of cooperative manipulation. Coordinated motion and control laws in cooperative manipulation are synthesized on the basis of a non-linear model where the problem of uncertainty is solved, which is not the case in the available literature. Simple examples demonstrate the consistent procedure of mathematical modeling and synthesis of nominal coordinated motion, as well as control of the cooperative system. This book will be useful to a wide audience of engineers, ranging from undergraduate and graduate students, new and advanced academic researchers, to practitioners (mechanical and electrical engineers, computer and system scientists). It is intended for readers whose work involves manufacturing, industrial, robotics, automation, computer and control engineering, and who wish to find out about this important new technology and its potential advantages for control engineering applications.

Distributed Cooperative Control and Communication for Multi-agent Systems

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Publisher : Springer Nature
ISBN 13 : 9813367180
Total Pages : 196 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Distributed Cooperative Control and Communication for Multi-agent Systems by : Dong Yue

Download or read book Distributed Cooperative Control and Communication for Multi-agent Systems written by Dong Yue and published by Springer Nature. This book was released on 2021-02-15 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates distributed cooperative control and communication of MASs including linear systems, nonlinear systems and multiple rigid body systems. The model-based and data-driven control method are employed to design the (optimal) cooperative control protocol. The approaches of this book consist of model-based and data-driven control such as predictive control, event-triggered control, optimal control, adaptive dynamic programming, etc. From this book, readers can learn about distributed cooperative control methods, data-driven control, finite-time stability analysis, cooperative attitude control of multiple rigid bodies. Some fundamental knowledge prepared to read this book is finite-time stability theory, event-triggered sampling mechanism, adaptive dynamic programming and optimal control.

Machine Learning-based Multi-robot Cooperative Transportation of Objects

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (68 download)

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Book Synopsis Machine Learning-based Multi-robot Cooperative Transportation of Objects by :

Download or read book Machine Learning-based Multi-robot Cooperative Transportation of Objects written by and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi robot cooperative transportation is an important research area in the multi robot domain. In the process of object transportation, several autonomous robots navigate cooperatively in either a static or a dynamic environment to transport an object to a goal location and orientation. The environment may consist of both fixed and removable obstacles and it will be subject to uncertainty and unforeseen changes within the environment. Furthermore, more than one robot may be required in a cooperative mode for handling heavy and large objects. These are some of the challenges addressed in the present thesis. This thesis develops a machine learning approach and investigates relevant research issues for object transportation utilizing cooperative and autonomous multiple mobile robots. It makes significant original contributions in distributed multi robot coordination and self deterministic learning for robot decision making, and comes up with an optimal solution to the action selection conflicts of the robots in the cooperative system. This will help to improve the real time performance and robustness of the system. Also, the thesis develops a new method for object and obstacle identification in complex environments using a laser range finder, which is more realistic than the available methods. A new algorithm for object pose estimation algorithm is developed, enabling a robot to identify the objects and obstacles in a multi-robot environment by utilizing the laser range finder and color blob tracking. The thesis develops a fully distributed hierarchical multi-robot architecture for enhanced coordination among robots in a dynamic and unknown environment. It strives to improve the real time performance and robustness. The system consists with three layers. By combining two popular artificial intelligence (Al) techniques such as learning and behavior based decision making, the developed architecture is expected to facilitate effective autonomous operation of cooperative.

Advances in Cooperative Control and Optimization

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Publisher : Springer
ISBN 13 : 3540743561
Total Pages : 426 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Advances in Cooperative Control and Optimization by : Michael Hirsch

Download or read book Advances in Cooperative Control and Optimization written by Michael Hirsch and published by Springer. This book was released on 2007-10-24 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Across the globe, the past several years have seen a tremendous increase in the role of cooperative autonomous systems. The field of cooperative control and optimization has established itself as a part of many different scientific disciplines. The contents of this hugely important volume, which adds much to the debate on the subject, are culled from papers presented at the Seventh Annual International Conference on Cooperative Control and Optimization, held in Gainesville, Florida, in January 2007.

Autonomous Mobile Robots

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Publisher : CRC Press
ISBN 13 : 1351837117
Total Pages : 511 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Autonomous Mobile Robots by : Frank L. Lewis

Download or read book Autonomous Mobile Robots written by Frank L. Lewis and published by CRC Press. This book was released on 2018-10-03 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: It has long been the goal of engineers to develop tools that enhance our ability to do work, increase our quality of life, or perform tasks that are either beyond our ability, too hazardous, or too tedious to be left to human efforts. Autonomous mobile robots are the culmination of decades of research and development, and their potential is seemingly unlimited. Roadmap to the Future Serving as the first comprehensive reference on this interdisciplinary technology, Autonomous Mobile Robots: Sensing, Control, Decision Making, and Applications authoritatively addresses the theoretical, technical, and practical aspects of the field. The book examines in detail the key components that form an autonomous mobile robot, from sensors and sensor fusion to modeling and control, map building and path planning, and decision making and autonomy, and to the final integration of these components for diversified applications. Trusted Guidance A duo of accomplished experts leads a team of renowned international researchers and professionals who provide detailed technical reviews and the latest solutions to a variety of important problems. They share hard-won insight into the practical implementation and integration issues involved in developing autonomous and open robotic systems, along with in-depth examples, current and future applications, and extensive illustrations. For anyone involved in researching, designing, or deploying autonomous robotic systems, Autonomous Mobile Robots is the perfect resource.

Software, Programming, and Run-Time Coordination for Distributed Robotics

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Publisher :
ISBN 13 :
Total Pages : 8 pages
Book Rating : 4.:/5 (742 download)

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Book Synopsis Software, Programming, and Run-Time Coordination for Distributed Robotics by :

Download or read book Software, Programming, and Run-Time Coordination for Distributed Robotics written by and published by . This book was released on 2003 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our project created and disseminated new technologies for coordinating the behavior of large numbers of form factor constrained mobile robots. Simulations and robotic experiments were created to demonstrate coordination constraints expressed in a controlled theoretic framework in a manner that guarantees performance (time, energy, and comm bandwidth), scales to hundreds of individuals, and supports optimization via reinforcement learning to acquire distributed control policies. We have implemented 10 "uBots" to realize our SDR concept on which we have demonstrated adaptive impedance control, multi-robot coordination and dynamic role assignment, a real-time process scheduler, and wearable interfaces. Applications, including: search and mapping; leader-follower control; and multi-robot behavior for preserving network connectivity among coordinated peers. Performance bounds on an n-robot teams using network-distributed interfaces have been demonstrated as well. Twelve students are involved in our SDR project. We ported control code for autonomous grasping and manipulation gaits for robot hands to our colleagues at NASA-JSC for use in the Robonaut program and our simulation for multi-robot search controllers that maintain line of sight was transferred to colleagues at SPAWAR.