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Article
Automation & Control Systems
Abid Khan et al.
Summary: Digital twins have been proposed to enhance manufacturing processes, with the goal of benefiting more than 50% of large industries by the end of 2021. However, a common narrative for digital twins is still lacking. To address this, the article presents a detailed framework called spiral DT-framework and suggests using blockchain technology for secure and reliable data management. A new variant of blockchain, called twinchain, is also proposed, which is quantum-resilient and offers immediate transaction confirmation. The article concludes with a framework for deploying twinchain in the manufacturing of a robot surgical machine.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Rong Zhang et al.
Summary: The assembly process of high precision products requires human-robot collaboration to optimize efficiency, but the unpredictability of human behavior poses a challenge. A human-robot collaborative reinforcement learning algorithm has been proposed and validated through experimental analysis to optimize task allocation in assembly processes.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Review
Computer Science, Interdisciplinary Applications
Sebastian Hjorth et al.
Summary: In response to inefficiencies in recycling processes, industries are adopting circular economy business models and remanufacturing processes to increase sustainable use of natural resources. Human-Robot Collaborative Disassembly (HRCD) is identified as a solution to the challenges posed by the complexity and uncertainty of remanufacturing processes.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Multidisciplinary Sciences
Yiming Liu et al.
Summary: The importance of developing intelligent robotics to prevent the spread of infectious diseases has been highlighted by the COVID-19 pandemic. This study presents a closed-loop human-machine interface (HMI) system based on skin-integrated electronics, which allows wireless motion capturing and haptic feedback. The integration of visual and haptic virtual reality (VR) through skin-integrated electronics shows great potential in noncontact collection of bio samples and nursing infectious disease patients.
Review
Computer Science, Interdisciplinary Applications
Junming Fan et al.
Summary: This paper provides a systematic review of computer vision-based holistic scene understanding in human-robot collaboration (HRC) scenarios. It emphasizes the cognition of key elements such as objects, humans, and the environment. The paper also discusses the challenges and potential research directions in achieving proactive HRC.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Review
Chemistry, Multidisciplinary
Aswin K. Ramasubramanian et al.
Summary: This paper provides insights into the approaches and challenges in creating digital twins of human-robot collaboration. It highlights the importance of digital twins in the manufacturing industry and their role throughout the entire product lifecycle.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Hardware & Architecture
Youyang Qu et al.
Summary: This article discusses the issues faced by digital twin networks (DTNs), such as centralized processing, data falsification, and privacy leakage, and proposes a novel blockchain-enabled adaptive asynchronous federated learning (FedTwin) paradigm to address these challenges.
Article
Robotics
Elvis I. A. Borges et al.
Summary: In this study, an open-source framework for real-time 3D reconstruction of soft robots in eXtended Reality (Augmented and Virtual Reality) is proposed. This framework, with a Robot Operating System (ROS) backbone, allows for easy integration with existing soft robot control algorithms and real-time teleoperation using signals from proprioceptive sensors. The feasibility of this approach is demonstrated in Augmented Reality using a Microsoft Hololens device.
FRONTIERS IN ROBOTICS AND AI
(2022)
Article
Computer Science, Interdisciplinary Applications
Yongkui Liu et al.
Summary: This paper proposes a digital twin-enabled approach for effective transfer of DRL algorithms to physical robots, addressing the issue of sim-to-real transfer. The experimental results validate the effectiveness of the intelligent grasping algorithm and the digital twin-enabled approach and mechanism.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Computer Science, Interdisciplinary Applications
Francesco Semeraro et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Computer Science, Information Systems
Hamid Keshmiri Neghab et al.
Summary: Emerging technologies play a crucial role in the healthcare system, especially when combined with the Metaverse. This research focuses on developing a digital twin of a medical microrobot controlled by a stochastic model predictive controller empowered by machine learning. The robot utilizes magnetic levitation and a system identification approach to identify its dynamics.
Article
Computer Science, Interdisciplinary Applications
Weifei Hu et al.
Summary: This paper proposes a new grasps-generation-and-selection convolutional neural network (GGS-CNN) for robotic grasping. The GGS-CNN transforms RGB-D images into feature maps and evaluates the quality of selected grasps to generate grasp candidates. The proposed method achieves high success rates in grasping single objects and cluttered objects, and can obtain the best grasp in a short time.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Computer Science, Information Systems
Cristina Alcaraz et al.
Summary: Industry 4.0 is positively impacting the value chain through the use of digital twin technology, but it also brings security threats that need to be studied and addressed. This paper analyzes the current state of the digital twin paradigm, classifies potential threats, and provides security recommendations to ensure its appropriate and trustworthy use.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2022)
Article
Computer Science, Interdisciplinary Applications
Ali Vatankhah Barenji et al.
Summary: The significant trend in smart manufacturing is industrial digitalization, which combines physical and digital worlds to enable activities like active perception, real-time interaction, and intelligent control. A digital twin-driven approach with agent-based decision-making optimizes motion planning in robotic cells and the manufacturing facility's physical and virtual layers. Qualitative analysis and quantitative comparisons provide valuable insights for manufacturing decisions in the digital twin-driven environment.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2021)
Article
Engineering, Industrial
Weidong Shen et al.
Summary: With the rapid growth of digital twin technology, the issue of data sharing of big digital twin data (BDTD) due to data security and trust among stakeholders has been addressed by proposing a blockchain-based framework integrated with cloud storage. Through simulations and system evaluations, the effectiveness and feasibility of the framework for timely sharing of BDTD have been demonstrated.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Engineering, Mechanical
Hu Shi et al.
Summary: This study utilized digital twin technology to guide the design of a robotic manipulator through dynamics simulation and data interaction between virtual and actual models. Experiments were conducted with PD feedback control and Newton-Euler dynamics based feedforward control, showing that feedforward control implementation led to a reduction of 30.0% in the average error of the manipulator's fixed point and a reduction of 33.3% in the maximum error.
CHINESE JOURNAL OF MECHANICAL ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Huan X. Nguyen et al.
Summary: Although 5G networks are still in their early stages, the concept of digital twins is being utilized in various industries with great potential, even though it remains relatively new for 5G/6G networks. Digital twins have the power to assist in developing and deploying complex 5G environments, fulfilling their potential.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Article
Engineering, Industrial
Qibing Lv et al.
Summary: In response to the increasing demand for medical equipment production due to COVID-19, a new framework of human-robot collaborative assembly based on digital twin is proposed in this paper. By integrating data from digital twin spaces and using optimization models, the proposed framework improves assembly efficiency and safety.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Review
Computer Science, Interdisciplinary Applications
Jens Lambrecht et al.
Summary: Augmented Reality (AR) has the potential to enhance interaction with robots but faces challenges in terms of spatial referencing, technical limitations of AR devices, and uncertainty in comparison to traditional programming techniques.Developing a hardware-agnostic microservice architecture and marker-less pose estimation methods are proposed as solutions to these challenges.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Computer Science, Interdisciplinary Applications
P. Aivaliotis et al.
Summary: This paper introduces a generic framework to enhance advanced physics-based models by combining them with degradation curves of robot components in order to predict the robot's future behavior and estimate its Remaining Useful Life. The Digital Twin concept is employed to monitor the robot's health status to ensure convergence between simulated and actual behaviors.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Computer Science, Interdisciplinary Applications
Z. M. Bi et al.
Summary: The article discusses the current state and technological bottlenecks of safety assurance for collaborative robots, and suggests directions for future research, including the systematic theory and methods to design and build cobots with integrated ergonomic structures, sensing, real-time controls, and human-robot interfaces, intuitive programming, task-driven programming, skill-based programming, and advanced instruments and algorithms.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Automation & Control Systems
Qiyue Wang et al.
Summary: This paper introduces an innovative investigation on prototyping a digital twin as a platform for human-robot interactive welding and welder behavior analysis. The study shows that the human-robot interaction working style and data-driven welder behavior analysis can enhance operational productivity and accelerate novice welder training.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2021)
Review
Computer Science, Interdisciplinary Applications
Luca Lattanzi et al.
Summary: Recent advancements in digital technologies have led to a new manufacturing model where digital twins play a crucial role in monitoring and optimizing production processes. Efforts have been made to identify key functionalities, properties, and challenges for implementing digital twins in real factories, with a focus on practical industrial applications. This paper reviews and analyzes the principles, ideas, and technological solutions of digital twins for production processes, while also discussing future directions for further research.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2021)
Article
Robotics
J. A. Douthwaite et al.
Summary: This paper presents a novel digital twinning framework for investigating safety in collaborative robotic manufacturing processes. The framework supports user-defined cyber-physical environments and tools for safety analysis and control. Through a specific industrial case-study, it demonstrates the application and advantages of the framework in virtually assessing safety claims made against safety controllers.
FRONTIERS IN ROBOTICS AND AI
(2021)
Article
Chemistry, Multidisciplinary
Niki Kousi et al.
Summary: This paper discusses a digital twin-based approach for designing and redesigning flexible assembly systems, which dynamically updates the digital twin model and combines with artificial intelligence logic to derive alternative configurations of the production system. The application of this approach in the automotive industry is illustrated through a case study.
APPLIED SCIENCES-BASEL
(2021)
Review
Agriculture, Dairy & Animal Science
Suresh Neethirajan et al.
Summary: A digital twin is a digital replica of a real-world entity that helps farmers monitor animal behavior, improve business decisions, and enhance precision farming in the livestock sector. With the integration of artificial intelligence and machine learning, digital twins have the potential to play a significant role in modern animal farming.
Article
Construction & Building Technology
Dongmin Lee et al.
Summary: Efficient collaboration among stakeholders in construction projects is hindered due to fragmented stakeholders and lack of accountable information sharing. To address this issue, an integrated digital twin and blockchain framework has been developed and tested, enabling traceable data communication and making all data transactions traceable. The primary contribution of this framework is accountable project-related information sharing among stakeholders.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Green & Sustainable Science & Technology
Gaurav Garg et al.
Summary: A Digital Twin is a concept of creating a digital replica of physical models that can assist in the online/remote programming of robotic cells by simulating real-world configurations. The model consists of a physical component (FANUC robot) and a digital component (Unity gaming platform with specialized plugins), simplifying the process of writing and modifying robot trajectories. Through simulation analysis, it was found that the developed Digital Twin model is suitable for industrial applications with minimal latency and error ranges.
Article
Computer Science, Information Systems
Yiwen Wu et al.
Summary: Digital twin network (DTN) utilizes digital twin (DT) technology to create virtual twins of physical objects, enabling co-evolution between physical and virtual spaces. Key applications include manufacturing, aviation, healthcare, and intelligent transportation systems, with current technical challenges and future trends identified.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Review
Computer Science, Information Systems
Maulshree Singh et al.
Summary: Digital Twin (DT) serves as a virtual copy of physical entities, interconnected in real time through data exchange, with wide applications and expected exponential growth. The complexity of Industry 4.0 system data generation adds to the confusion and lack of consensus surrounding DT terminology and types. Understanding the characteristics and types of DT, and weighing its pros and cons, is crucial for investors and industries.
APPLIED SYSTEM INNOVATION
(2021)
Article
Robotics
Mario Trobinger et al.
Summary: GARMI is a service robotics platform designed to assist the elderly at home, with a unique humanoid design and full-body torque control interface for various support functions.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Computer Science, Information Systems
Kyeong-Beom Park et al.
Summary: This study introduces a novel hands-free interaction method using multimodal gestures and deep learning for human-robot interaction in mixed reality environments. The method supports coarse-to-fine interactions, utilizing eye gazing for searching and previewing and head gestures for selection and 3D manipulation. Deep learning-based object detection helps estimate initial object positioning, and virtual object-based indirect manipulation enables more intuitive and efficient control of the robot compared to traditional methods.
Review
Computer Science, Information Systems
Md. A. K. Niloy et al.
Summary: Autonomous mobile robots, capable of independent movement and intelligent decision-making, have become widely used in various industries, sparking significant research interest. Studies over the past 30 years have focused on essential factors of mobile robots, including locomotion, perception, localization, mapping, and navigation. This article surveys these critical elements, discussing technical fundamentals, popular algorithms, future challenges, and promising directions.
Article
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Ali Ahmad Malik et al.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2020)
Review
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Yuqian Lu et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2020)
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Andrzej Burghardt et al.
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(2020)
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Kosmas Alexopoulos et al.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2020)
Article
Chemistry, Multidisciplinary
Luis Perez et al.
APPLIED SCIENCES-BASEL
(2020)
Review
Engineering, Manufacturing
David Jones et al.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2020)
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NATURE COMMUNICATIONS
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(2019)
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Proceedings Paper
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52ND CIRP CONFERENCE ON MANUFACTURING SYSTEMS (CMS)
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IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2018)
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