Going beyond the traditional field of robotics to include other mobile vehicles, Mobile Intelligent Autonomous Systems describes important theoretical concepts, techniques, approaches, and applications that can be used to build truly mobile intelligent autonomous systems (MIAS). It offers a comprehensive treatment of robotics and MIAS, as well as related disciplines, helping readers understand the subject from a system-theoretic and practical point of view. Organized into three sections, the book progresses from conceptual foundations to MIAS and robotics systems and then examines allied technologies. With an emphasis on recent research and developments, experts from various fields cover key aspects of this rapidly emerging area, including:
Path and motion planning Obstacle avoidance in a dynamic environment Direct biological-brain control of a mobile robot Sensor and image data fusion Autonomous decision making and behavior modeling in robots Hydro-MiNa robot technology Adaptive algorithms for smart antennas Control methods for autonomous micro-air vehicles Neuro-fuzzy fault-tolerant auto-landing for aircraft H-infinity filter based estimation for simultaneous localization and mapping
Where relevant, concepts and theories are illustrated with block/flow diagrams and numerical simulations in MATLAB®. An integrated exploration of the theory and practice of MIAS and robotics, this is a valuable reference and recipe book for research and industry.
Arvustused
"This edited collection brings forth a variety of state-of-the-art research results in areas relevant to mobile intelligent systems such as UAVs and robots. The topics are complementary while the treatment of these topics within each chapter is very detailed. This book will greatly benefit robotics researchers and developers as a go-to source for understanding the myriad topics related to incorporation of autonomy in mobile intelligent systems." Aman Behal, University of Central Florida, USA
"[ This book] can be recommended to research (PhD and post-PhD) students or for industrial implementations." Florin Ionescu, Steinbeis University Berlin and STI Dynamic Systems, Germany
" a great book to get an overall and in-depth understanding for this field." Zhao Wang, University of Central Florida, Orlando, USA "This edited collection brings forth a variety of state-of-the-art research results in areas relevant to mobile intelligent systems such as UAVs and robots. The topics are complementary while the treatment of these topics within each chapter is very detailed. This book will greatly benefit robotics researchers and developers as a go-to source for understanding the myriad topics related to incorporation of autonomy in mobile intelligent systems." Aman Behal, University of Central Florida, USA
"[ This book] can be recommended to research (PhD and post-PhD) students or for industrial implementations." Florin Ionescu, Steinbeis University Berlin and STI Dynamic Systems, Germany
" a great book to get an overall and in-depth understanding for this field." Zhao Wang, University of Central Florida, Orlando, USA
| Preface |
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xi | |
| Acknowledgements |
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xiii | |
| Editors |
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xv | |
| Contributors |
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xvii | |
| Introduction |
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xxi | |
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PART I Conceptual Foundations for MIAS |
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Chapter 1 Neuro-Fuzzy-GA-AI Paradigms |
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3 | (28) |
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Chapter 2 Mathematical Models of Robot Motion |
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31 | (12) |
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Chapter 3 Data Fusion in Mobile Intelligent Autonomous Systems |
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43 | (10) |
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Chapter 4 Image Registration and Fusion |
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53 | (30) |
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Chapter 5 Multi-Sensor Image Fusion Using Discrete Cosine Transform |
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83 | (16) |
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Chapter 6 Motion Segmentation Using Spectral Framework |
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99 | (14) |
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Chapter 7 Formation Control in Multi-Agent Systems over Packet Dropping Links |
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113 | (16) |
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PART II MIAS and Robotics |
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Chapter 8 Robot's Sensors and Instrumentation |
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129 | (11) |
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Chapter 9 Robot Navigation and Guidelines |
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140 | (11) |
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Chapter 10 Robot Path and Motion Planning |
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151 | (20) |
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Chapter 11 Out-of-Sequence Measurements: Missing Data Problem |
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171 | (18) |
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Chapter 12 Robotic Path-Planning in Dynamic and Uncertain Environment Using Genetic Algorithm |
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189 | (10) |
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Chapter 13 Temporal Logic Motion Planning in Robotics |
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199 | (26) |
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Chapter 14 A Constraint Programming Solution for the Military Unit Path Finding Problem |
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225 | (16) |
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Chapter 15 Simultaneous Localization and Mapping for a Mobile Vehicle |
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241 | (18) |
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Chapter 16 Robotic and Moving Vehicle Architectures |
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259 | (12) |
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Chapter 17 Multi-Robot Coordination |
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271 | (10) |
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Chapter 18 Autonomous Mobile Robot with a Biological Brain |
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281 | (14) |
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Chapter 19 Safe and Effective Autonomous Decision Making in Mobile Robots |
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295 | (62) |
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Chapter 20 Partially Integrated Guidance and Control of Unmanned Aerial Vehicles for Reactive Obstacle Avoidance |
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357 | (28) |
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Chapter 21 Impedance-Controlled Mechatronic Systems for Autonomous Intelligent Devices |
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385 | (24) |
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Chapter 22 Hydro-MiNa Robot Technology for Micro- and Nano-Manipulation in Manufacturing of Micro-Products |
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409 | (14) |
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PART III Allied Technologies for MIAS/Robotics |
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Chapter 23 Real-Time System Identification of an Unstable Vehicle within a Closed Loop |
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423 | (16) |
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Chapter 24 Smart Antennas for Mobile Autonomous Systems: Adaptive Algorithms for Acceleration |
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439 | (72) |
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Chapter 25 Integrated Modelling, Simulation and Controller Design for an Autonomous Quadrotor Micro Air Vehicle |
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511 | (14) |
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Chapter 26 Determination of Impact and Launch Points of a Mobile Vehicle Using Kalman Filter and Smoother |
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525 | (14) |
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Chapter 27 Novel Stability Augmentation System for Micro Air Vehicle: Towards Autonomous Flight |
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539 | (22) |
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Chapter 28 Neuro-Fuzzy Fault-Tolerant Aircraft Autoland Controllers |
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561 | (50) |
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Chapter 29 Reconfiguration in Flight Critical Aerospace Applications |
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611 | (40) |
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Chapter 30 Study of Three Different Philosophies to Automatic Target Recognition: Classical, Bayesian and Neural Networks |
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651 | (36) |
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Chapter 31 Real-Time Implementation of a Novel Fault Detection and Accommodation Algorithm for an Air-Breathing Combustion System |
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687 | (28) |
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Chapter 32 Fuzzy Logic-Based Sensor and Control Surface Fault Detection and Reconfiguration |
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715 | (22) |
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Chapter 33 Target Tracking Using a 2D Radar |
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737 | (14) |
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Chapter 34 Investigating the Use of Bayesian Network and k-NN Models to Develop Behaviours for Autonomous Robots |
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751 | (14) |
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Chapter 35 Modelling Out-of-Sequence Measurements: A Copulas-Based Approach |
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765 | (6) |
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| Appendix A Statistical and Numerical Concepts |
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771 | (8) |
| Appendix B Notes on Software and Algorithms Related to Robotics |
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779 | (4) |
| Index |
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Jitendra R. Raol, Ph.D., is retired from the National Aerospace Laboratories (NAL), where he was Scientist-G and head of the Flight Mechanics and Control Division (FMCD). He was elected a fellow of the IEE (UK), was a senior member of the IEEE (US), is a life-fellow of the Aeronautical Society of India, and a life member of the System Society of India. Dr. Raol has published 110 research papers and several reports and has guest-edited two special issues each of Sadhana and the Defense Science Journal. He is a reviewer of several national and international journals and has served as a chairman and member of several technical and examination committees. He is the (co-) author of Modelling and Parameter Estimation for Dynamic Systems, (IEE/IET, 2004), Flight Mechanics Modeling and Analysis (CRC Press, 2008) and Multi-Sensor Data Fusion with MATLAB (CRC Press, 2009). He has also written collections of poems: Poetry of Life, Sandy Bonds, Timeless Quest, and Naked Emotions.
Ajith K. Gopal, Ph.D., is currently an engineering manager at Land Systems South Africa, where he is responsible for new technology strategy and development for the company. In 2007, Dr. Gopal established the MIAS (Mobile, Intelligent, Autonomous Systems) research group at the Council of Scientific and Industrial Research (CSIR) in South Africa, where he served as the research leader for 2007 and 2008. He has published four papers relating to composite and smart materials in the Journal of Composite Materials and International Conferences on Composite Science and Technology. He has also published a paper on path planning in the Defense Science Journal and a book chapter on data fusion in robotics in Multi-Sensor Data Fusion with MATLAB (CRC Press, 2009) and has guest-edited a special issue of the Defense Science Journal on MIAS.
Lisainfo e-raamatute kohta