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ISBN: 9179298893 Year: 2020 Publisher: Linköping : Linkopings Universitet,
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This dissertation by Olov Andersson explores methods from artificial intelligence to enhance autonomous robots' ability to make safe, real-time decisions under uncertainty. The work addresses challenges faced by robots operating beyond controlled environments, such as traffic, where they must navigate dynamic, unpredictable conditions. It examines various machine learning techniques, including probabilistic and deep learning methods, and integrates these with traditional robotics planning and control strategies. The research aims to reduce uncertainty through improved modeling and decision approximation while ensuring safety and real-time performance. The study is grounded in experiments with autonomous quadcopters and is supported by several research foundations and advisors.
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ISBN: 1665418826 1665447990 Year: 2020 Publisher: Piscataway, New Jersey : IEEE,
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ISBN: 3658301090 3658301082 Year: 2020 Publisher: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg,
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Thomas Glotzbach spotlights that navigation within marine robotics can benefit from cooperative teams in a way that justifies the increased effort to operate several vehicles at once. He features discussions of different scenarios, modeling of systems, and estimation algorithms for comparable situations. The chapter on the used methodologies may allow a reader with only basic knowledge in control theory to obtain deeper insight in advanced concepts such as observability and state estimation, even without any background in marine robotics. Contents Navigation in Marine Robotics: Methods, Classification, and State of the Art Problem Formulation and Definitions Mathematical Tools from Control and Systems Engineering Methods for Cooperative Navigation Optimal Sensor Placement in Marine Robotics Combination of Cooperative Navigation and Optimal Sensor Placement Target Groups Researchers and students in the fields of automation, control systems, electrical and computational engineering Practitioners in marine robotics, mobile systems The Author Dr. Thomas Glotzbach obtained experience in maritime robotics as researcher at Technische Universität Ilmenau, Germany (doctoral and habilitation degree) and at Instituto Superior Técnico, Lisbon, Portugal. Since September 2019, he has been Professor of Control Engineering and Robotics at Technische Hochschule Mittelhessen – University of Applied Sciences, Germany.
Autonomous robots. --- Autonomous robotic systems --- Robots --- Control engineering. --- Robotics. --- Mechatronics. --- Control, Robotics, Mechatronics. --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers
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ISBN: 9811387710 9811387702 Year: 2020 Publisher: Singapore : Springer Singapore : Imprint: Springer,
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This book reports on the latest advances in the study of motion control in biomimetic swimming robots with high speed and high manoeuvrability. It presents state-of-the-art studies on various swimming robots including robotic fish, dolphins and jellyfish in a unified framework, and discusses the potential benefits of applying biomimetic underwater propulsion to autonomous underwater vehicle design, such as: speed, energy economy, enhanced manoeuvrability, and reduced detectability. Given its scope, the book will be of interest to researchers, engineers and graduate students in robotics and ocean engineering who wish to learn about the core principles, methods, algorithms, and applications of biomimetic underwater robots. .
Artificial intelligence. --- Vibration. --- Control, Robotics, Mechatronics. --- Artificial Intelligence. --- Vibration, Dynamical Systems, Control. --- Cycles --- Mechanics --- Sound --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Control engineering. --- Robotics. --- Mechatronics. --- Dynamical systems. --- Dynamics. --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Physics --- Statics --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Robots --- Robotic fish. --- Motion. --- Aquatic robots (Robotic fish) --- Biomimetic robotic fish --- Swimming robots (Robotic fish) --- Underwater swimming robots (Robotic fish) --- Autonomous robots --- Autonomous underwater vehicles --- Robotic animals --- Movement of robots --- Robot motion --- Motion
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