Mobile Intelligent Autonomous Systems (eBook, ePUB)

Redaktion: Raol, Jitendra R.; Gopal, Ajith K.

• Format: ePub

Produktbeschreibung

Going beyond the traditional field of robotics to include other mobile vehicles, this reference and "recipe book" describes important theoretical concepts, techniques, and applications that can be used to build truly mobile intelligent autonomous systems (MIAS).

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 832
• Erscheinungstermin: 19. April 2016
• Englisch
• ISBN-13: 9781000755640
• Artikelnr.: 58255411

Autorenporträt

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.

Inhaltsangabe

Introduction. Part I Conceptual Foundations for MIAS: Neuro-Fuzzy-GA-AI
Paradigms. Mathematical Models of Robot Motion. Data Fusion in Mobile
Intelligent Autonomous Systems. Image Registration and Fusion. Multi-Sensor
Image Fusion Using Discrete Cosine Transform. Motion Segmentation Using
Spectral Framework. Formation Control in Multi-Agent Systems over Packet
Dropping Links. Part II MIAS and Robotics: Robot's Sensors and
Instrumentation. Robot Navigation and Guidance. Robot Path and Motion
Planning. Out-of-Sequence Measurements: Missing Data Problem. Robotic
Path-Planning in Dynamic and Uncertain Environment Using Genetic Algorithm.
Temporal Logic Motion Planning in Robotics. A Constraint Programming
Solution for the Military Unit Path Finding Problem. Simultaneous
Localization and Mapping for a Mobile Vehicle. Robotic and Moving Vehicle
Architectures. Multi-Robot Coordination. Autonomous Mobile Robot with a
Biological Brain. Safe and Effective Autonomous Decision Making in Mobile
Robots. Partially Integrated Guidance and Control of Unmanned Aerial
Vehicles for Reactive Obstacle Avoidance. Impedance-Controlled Mechatronic
Systems for Autonomous Intelligent Devices. Hydro-MiNa Robot Technology for
Micro- and Nano-Manipulation in Manufacturing of Micro-Products. Part III
Allied Technologies for MIAS/Robotics: Real-Time System Identification of
an Unstable Vehicle within a Closed Loop. Smart Antennas for Mobile
Autonomous Systems: Adaptive Algorithms for Acceleration. Integrated
Modelling, Simulation and Controller Design for an Autonomous Quadrotor
Micro Air Vehicle. Determination of Impact and Launch Points of a Mobile
Vehicle Using Kalman Filter and Smoother. Novel Stability Augmentation
System for Micro Air Vehicle: Towards Autonomous Flight. Neuro-Fuzzy
Fault-Tolerant Aircraft Autoland Controllers. Reconfiguration in Flight
Critical Aerospace Applications. Study of Three Different Philosophies to
Automatic Target Recognition: Classical, Bayesian and Neural Networks.
Real-Time Implementation of a Novel Fault Detection and Accommodation
Algorithm for an Air-Breathing Combustion System. Fuzzy Logic-Based Sensor
and Control Surface Fault Detection and Reconfiguration. Target Tracking
Using a 2D Radar. Investigating the Use of Bayesian Network and k-NN Models
to Develop Behaviours for Autonomous Robots. Modelling Out-of-Sequence
Measurements: A Copulas-Based Approach. Appendix A: Statistical and
Numerical Concepts. Appendix B: Notes on Software and Algorithms Related to
Robotics. Index