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Long description: Robotics in the dawning era of digitalization and artificial intelligence! After two years, the 52nd International Symposium on Robotics – ISR 2020 will be held online from December 09–10, 2020. In two conference tracks and a poster session over two days, the ISR 2020 will offer an insight into the latest state-of-the-art robot technologies to participants from both industry and research. Sessions will be held on relevant topics such as Modeling, Planning and Control, as well as Components and Technologies. Developments from the area of Robotics in Production and Industrial Robots will also be addressed, as well as Service and Mobile Robotics. Additionally, we are planning sessions on Robotics in New Markets & Applications, as well as Human-robot-collaboration / Future of Work. And additional Business Track will offer guest speakers from the industry the opportunity to present their current products and developments. The special session for the IERA Award finalists will round off the conference program. This international conference is jointly organized by the Mechanical Engineering Industry Association (VDMA) and the Information Technology Society (ITG) within VDE. The ISR 2020 was originally organized as customary parallel to the automatica, the leading exhibition for smart automation and robotics. Due to the ongoing situation with COVID-19, the trade show has been cancelled in 2020. Messe München is now working with exhibitors to develop a new in-person event with digital elements, adapted to the circumstances in times of the coronavirus. The new event has been conceived as a compact 'exhibition before the exhibition' for early summer 2021 and is to become an add-on to automatica. Detailed information on this will follow shortly.

Robotic --- Collaborative Robots --- Human-robot-collaboration --- Industrial Robots --- Mobile Robots --- Robot Technologies --- Robotics in Production --- Robots --- Industrial robots --- Automatic machinery

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Robots are increasingly becoming prevalent in our daily lives within our living or working spaces. We hope that robots will take up tedious, mundane or dirty chores and make our lives more comfortable, easy and enjoyable by providing companionship and care. However, robots may pose a threat to human privacy, safety and autonomy; therefore, it is necessary to have constant control over the developing technology to ensure the benevolent intentions and safety of autonomous systems. Building trust in (autonomous) robotic systems is thus necessary. The title of this book highlights this challenge: “Trust in robots—Trusting robots”. Herein, various notions and research areas associated with robots are unified. The theme “Trust in robots” addresses the development of technology that is trustworthy for users; “Trusting robots” focuses on building a trusting relationship with robots, furthering previous research. These themes and topics are at the core of the PhD program “Trust Robots” at TU Wien, Austria.

Robotics --- Social interaction --- Human-computer interaction --- Ethical issues: scientific & technological developments --- Human-Robot Collaboration; Human-Robot Interaction; Human-Machine System; Socio-Technical System; Social Robotics; Robot Ethics; Trust

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This open access book focuses on robot introspection, which has a direct impact on physical human–robot interaction and long-term autonomy, and which can benefit from autonomous anomaly monitoring and diagnosis, as well as anomaly recovery strategies. In robotics, the ability to reason, solve their own anomalies and proactively enrich owned knowledge is a direct way to improve autonomous behaviors. To this end, the authors start by considering the underlying pattern of multimodal observation during robot manipulation, which can effectively be modeled as a parametric hidden Markov model (HMM). They then adopt a nonparametric Bayesian approach in defining a prior using the hierarchical Dirichlet process (HDP) on the standard HMM parameters, known as the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM). The HDP-HMM can examine an HMM with an unbounded number of possible states and allows flexibility in the complexity of the learned model and the development of reliable and scalable variational inference methods. This book is a valuable reference resource for researchers and designers in the field of robot learning and multimodal perception, as well as for senior undergraduate and graduate university students.

Robotics. --- Automation. --- Statistics . --- Control engineering. --- Mechatronics. --- Machine learning. --- Mathematical models. --- Robotics and Automation. --- Bayesian Inference. --- Control, Robotics, Mechatronics. --- Machine Learning. --- Mathematical Modeling and Industrial Mathematics. --- Models, Mathematical --- Simulation methods --- Learning, Machine --- Artificial intelligence --- Machine theory --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Industrial engineering --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Robotics and Automation --- Bayesian Inference --- Control, Robotics, Mechatronics --- Machine Learning --- Mathematical Modeling and Industrial Mathematics --- Robotic Engineering --- Control, Robotics, Automation --- Collaborative Robot Introspection --- Nonparametric Bayesian Inference --- Anomaly Monitoring and Diagnosis --- Multimodal Perception --- Anomaly Recovery --- Human-robot Collaboration --- Robot Safety and Protection --- Hidden Markov Model --- Robot Autonomous Manipulation --- open access --- Bayesian inference --- Automatic control engineering --- Electronic devices & materials --- Machine learning --- Mathematical modelling --- Maths for engineers

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This is an open access book. It gathers the first volume of the proceedings of the 31st edition of the International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2022, held on June 19 – 23, 2022, in Detroit, Michigan, USA. Covering four thematic areas including Manufacturing Processes, Machine Tools, Manufacturing Systems, and Enabling Technologies, it reports on advanced manufacturing processes, and innovative materials for 3D printing, applications of machine learning, artificial intelligence and mixed reality in various production sectors, as well as important issues in human-robot collaboration, including methods for improving safety. Contributions also cover strategies to improve quality control, supply chain management and training in the manufacturing industry, and methods supporting circular supply chain and sustainable manufacturing. All in all, this book provides academicians, engineers and professionals with extensive information on both scientific and industrial advances in the converging fields of manufacturing, production, and automation.

Industrial engineering. --- Automation. --- Robotics. --- Production engineering. --- Computer-aided engineering. --- Industrial Automation. --- Robotic Engineering. --- Process Engineering. --- Computer-Aided Engineering (CAD, CAE) and Design. --- CAE --- Engineering --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering --- Automation --- Machine theory --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Management engineering --- Simplification in industry --- Value analysis (Cost control) --- Data processing --- Human-Robot Collaboration --- Lean Manufacturing Applications --- Cyber-Physical Systems in Manufacturing --- Lean Manufacturing --- Composite Materials in Manufacturing --- IoT-based Manufacturing --- Cybersecurity in Manufacturing --- AI Applications in Manufacturing --- Manufacturing decarbonization --- Manufacturing Modeling --- 3D printing --- Energy-Efficiency in Manufacturing --- Ergonomic Risk Assessment --- Industrial Applications of VR --- Sustainable Manufacturing --- Circular Supply Chain