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This Open Access book presents a good overview of the current research landscape of assembly, handling and industrial robotics. The objective of MHI Colloquium is the successful networking at both academic and management level. Thereby, the colloquium focuses an academic exchange at a high level in order to distribute the obtained research results, to determine synergy effects and trends, to connect the actors in person and in conclusion, to strengthen the research field as well as the MHI community. In addition, there is the possibility to become acatined with the organizing institute. Primary audience is formed by members of the scientific society for assembly, handling and industrial robotics (WGMHI).
Robots, Industrial. --- Industrial robots --- Automatic machinery --- Robots --- Open Access --- Assembly Processes & Systems --- Handling & Grasping --- Modelling & Simulation --- Human-robot-collaboration --- Industrial Robotics
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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.
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Technology is changing the manufacturing world. For example, sensors are being used to track inventories from the manufacturing floor up to a retail shelf or a customer’s door. These types of interconnected systems have been called the fourth industrial revolution, also known as Industry 4.0, and are projected to lower manufacturing costs. As industry moves toward these integrated technologies and lower costs, engineers will need to connect these systems via the Internet of Things (IoT). These engineers will also need to design how these connected systems interact with humans. The focus of this Special Issue is the smart sensors used in these human–robot collaborations.
Technology: general issues --- History of engineering & technology --- physical human-robot interaction --- game theory --- adaptive optimal control --- robot control --- tandem force sensor --- traction force sensor --- human–robot interaction --- contact task --- imitation learning --- safe physical human–robot collaboration --- collision detection --- human action recognition --- artificial intelligence --- industrial automation --- reinforcement learning --- social robotics --- human-robot interaction --- reward design --- physical embodiment --- human robot collaboration --- human robot interaction --- path planning --- bidirectional awareness --- haptic feedback device --- human machine interface --- collision identification --- collaborative robot --- deep learning --- uncertainty estimation --- knowledge distillation --- human–robot collaboration --- speed and separation monitoring --- human–machine differentiation --- thermal cameras --- protective separation distance --- collaborative robots --- motion planning --- human motion prediction --- human-following robots --- teleoperation --- high-speed image processing --- machine learning --- finger position recognition --- grasp type estimation --- human-robot collaboration --- human-centered robotics --- task planning --- n/a --- safe physical human-robot collaboration --- human-machine differentiation
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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 Open Access proceedings presents a good overview of the current research landscape of industrial robots. The objective of MHI Colloquium is the successful networking at both academic and management level. Thereby, the colloquium focuses an academic exchange at a high level in order to distribute the obtained research results, to determine synergy effects and trends, to connect the actors in person and in conclusion, to strengthen the research field as well as the MHI community. In addition, there is the possibility to become acquatined with the organizing institute. Primary audience is formed by members of the scientific society for assembly, handling and industrial robotics (WGMHI). The Editors Prof. Dr.-Ing. Thorsten Schüppstuhl is head of the Institute of Aircraft Production Technology (IFPT) at the Hamburg University of Technology. Prof. Dr.-Ing. Kirsten Tracht is head of the Bremen Institute for Mechanical Engineering (bime) at the University of Bremen. Prof. Dr. Dominik Henrich is head of the RESY Research Lab at the University of Bayreuth. .
Robotics. --- Automation. --- Manufactures. --- Engineering design. --- Computer simulation. --- Machinery. --- Robotics and Automation. --- Manufacturing, Machines, Tools, Processes. --- Engineering Design. --- Simulation and Modeling. --- Machinery and Machine Elements. --- Machinery --- Machines --- Manufactures --- Power (Mechanics) --- Technology --- Mechanical engineering --- Motors --- Power transmission --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Design, Engineering --- Engineering --- Industrial design --- Strains and stresses --- Manufactured goods --- Manufactured products --- Products --- Products, Manufactured --- Commercial products --- Manufacturing industries --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Industrial engineering --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Automation --- Machine theory --- Curious devices --- Design --- Robotics and Automation --- Manufacturing, Machines, Tools, Processes --- Engineering Design --- Simulation and Modeling --- Machinery and Machine Elements --- Control, Robotics, Automation --- Machines, Tools, Processes --- Computer Science --- Open Access --- Assembly Processes & Systems --- Handling & Grasping --- Modelling & Simulation --- Human-robot-collaboration --- Industrial Robotics --- Production engineering --- Technical design --- Computer modelling & simulation --- Engines & power transmission
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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
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This book disseminates the latest research achievements, findings, and ideas in the robotics field, with particular attention to the Italian scenario. Book coverage includes topics that are related to the theory, design, practice, and applications of robots, such as robot design and kinematics, dynamics of robots and multi-body systems, linkages and manipulators, control of robotic systems, trajectory planning and optimization, innovative robots and applications, industrial robotics, collaborative robotics, medical robotics, assistive robotics, and service robotics. Book contributions include, but are not limited to, revised and substantially extended versions of selected papers that have been presented at the 2nd International Conference of IFToMM Italy (IFIT 2018).
robotic hands --- grasping --- electric power quality --- voltage dips effects --- parallel kinematic architecture --- agonist-antagonist variable-stiffness actuator --- tendon-driven mechanism --- stiffness analysis --- planar movements --- mobile robot --- climbing robot --- wheeled robot --- magnetic adhesion --- tactile sensors --- manipulation task --- assembly robot --- social robots --- behavioral models --- assistive robotics --- cognitive architectures --- empathy --- human-robot interaction --- industrial exoskeleton design --- industrial exoskeleton control --- human-robot collaboration --- optimal control --- empowering fuzzy control --- hopper --- optimization --- sequencing --- kitting --- H-FAS --- robot --- compliance --- machining --- modal testing --- Mozzi axis --- biped robotics --- exoskeletons --- postural equilibrium --- zero moment point --- inverted pendulum --- robust control --- exoskeleton --- haptics --- rehabilitation --- postural control --- postural balance --- multi-chain dynamical systems --- ankle impedance --- kinematic performance --- pediAnklebot --- robotics --- measurements --- collaborative robotics --- cobots --- human–robot interaction --- literature review --- robot motion --- redundancy --- trajectory optimization --- Dijkstra algorithm --- graph --- wearable robots --- underactuated robots --- robotic manipulation --- n/a
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In recent years, the industrial environment has been changing radically due to the introduction of concepts and technologies based on the fourth industrial revolution, also known as Industry 4.0. After the introduction of Industry 4.0 in large enterprises, SMEs have moved into the focus, as they are the backbone of many economies. Small organizations are increasingly proactive in improving their operational processes, which is a good starting point for introducing the new concepts of Industry 4.0. The readiness of SME-adapted Industry 4.0 concepts and the organizational capability of SMEs to meet this challenge exist only in some areas. This reveals the need for further research and action plans for preparing SMEs in a technical and organizational direction. Therefore, special research and investigations are needed for the implementation of Industry 4.0 technologies and concepts in SMEs. SMEs will only achieve Industry 4.0 by following SME-customized implementation strategies and approaches and realizing SME-adapted concepts and technological solutions. Thus, this Special Issue represents a collection of theoretical models as well as practical case studies related to the introduction of Industry 4.0 concepts in small- and medium-sized enterprises.
latent semantic analysis --- virtual quality management --- concept investigation --- concept disambiguation --- knowledge discovery --- sustainable methodologies --- small and medium sized enterprises --- material handling systems --- simulation --- ARENA®, time study --- overall equipment effectiveness --- manufacturing performance --- Industry 4.0 --- manufacturing sustainability --- manufacturing process model --- business process management --- hierarchical clustering --- similarity --- BPMN --- human factors --- cyber-physical systems --- cyber-physical production systems --- anthropocentric design --- Operator 4.0 --- human–machine interaction --- energy efficient operation --- manufacturing system --- stochastic event --- digital twin --- Max-plus Algebra --- MATLAB-Simulink --- advanced manufacturing --- industry 4.0 --- SME --- technology adoption model --- assembly supply chain --- sustainability --- complexity indicators --- testing criteria --- SMEs --- e-business modelling --- LSP Lifecycle Model --- Quality Function Deployment --- Best-Worst Method --- Internet of Things --- India --- awareness --- small and medium-sized enterprises --- assessment model --- collaborative robotics --- physical ergonomics --- human-robot collaboration --- human-centered design --- assembly --- small and medium sized enterprise --- positive complexity --- negative complexity --- infeasible configurations --- product platform --- customer’s perception --- assessment --- field study --- smart manufacturing --- cloud platform --- artificial intelligence --- machine learning --- deep learning --- smart logistics --- logistics 4.0 --- smart technologies --- sustainable agriculture --- plant factory
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Current trends in Industry 4.0 are largely related to issues of reliability and availability. As a result of these trends and the complexity of engineering systems, research and development in this area needs to focus on new solutions in the integration of intelligent machines or systems, with an emphasis on changes in production processes aimed at increasing production efficiency or equipment reliability. The emergence of innovative technologies and new business models based on innovation, cooperation networks, and the enhancement of endogenous resources is assumed to be a strong contribution to the development of competitive economies all around the world. Innovation and engineering, focused on sustainability, reliability, and availability of resources, have a key role in this context. The scope of this Special Issue is closely associated to that of the ICIE’2020 conference. This conference and journal’s Special Issue is to present current innovations and engineering achievements of top world scientists and industrial practitioners in the thematic areas related to reliability and risk assessment, innovations in maintenance strategies, production process scheduling, management and maintenance or systems analysis, simulation, design and modelling.
Quality check --- bike frame --- mathematical model --- graphical user interface --- risk management --- safety assurance --- medical parallel robot --- robotic assisted cancer treatment --- risk performance reasoning --- hidden Markov model --- Handy bauxite carrier --- process safety --- performance evaluation --- safety --- coupling correlation --- risk assessment --- multi-dimensional theory --- precision steel tape --- tape transportation --- roller-tape interactions --- roller-tape contact pair --- reliability --- truck unloading system --- petroleum equipment --- preventive maintenance --- cork–rubber composites --- compression --- apparent compression modulus --- Young’s modulus --- bonded condition --- importance measure --- cost --- inventory systems --- air compression system --- nitrogen generation system --- utility module --- availability --- sensitivity analysis --- predictive maintenance --- Industry 4.0 --- Internet of Things --- artificial intelligence --- machine learning --- maintenance --- predictive scheduling --- flow shop --- job shop --- ant colony optimisation --- on-line monitoring --- collaborative robots --- human robot collaboration --- time between failure (TBF) --- common beta hypothesis (CBH) test --- meta-analysis --- level of heterogeneity --- mean time between failure (MTBF) --- text mining --- network-based distributed manufacturing systems --- moth flame optimization algorithm --- support vector machines --- Naive Bayes --- random forest --- decision trees --- supplier classification --- machining centre --- DSM --- Copula function --- fault propagation intensity --- fault propagation behaviour --- lubricity --- gear oil --- wear --- operational reliability --- n/a --- cork-rubber composites --- Young's modulus
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