Article
Computer Science, Interdisciplinary Applications
Xi Wang, Ci-Jyun Liang, Carol C. Menassa, Vineet R. Kamat
Summary: Human cognition is crucial in construction work, especially in high-level task planning and in-field improvisation, whereas robots excel in numerical computation and precise motion control. Challenges in construction environments and maintaining tight tolerances hinder the wide application of robots in construction work. The proposed I2PL-DT system integrates visualization, task planning, bidirectional communication in virtual reality for collaborative human-robot construction work. In this paradigm, humans focus on task planning and supervision, while robots handle workspace sensing, motion planning, and physical execution.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
(2021)
Article
Chemistry, Analytical
Tsubasa Maruyama, Toshio Ueshiba, Mitsunori Tada, Haruki Toda, Yui Endo, Yukiyasu Domae, Yoshihiro Nakabo, Tatsuro Mori, Kazutsugu Suita
Summary: A digital twin-driven human-robot collaboration system was developed in this study, utilizing digital human technology for measuring and simulating worker motions and physical loads. The system demonstrated effectiveness in work monitoring, progress prediction, dynamic scheduling, and ergonomic assessment.
Review
Chemistry, Multidisciplinary
Aswin K. Ramasubramanian, Robins Mathew, Matthew Kelly, Vincent Hargaden, Nikolaos Papakostas
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
Engineering, Industrial
Xin Ma, Qinglin Qi, Jiangfeng Cheng, Fei Tao
Summary: Human-robot collaboration has broad applications and digital twin plays a critical role in enhancing physical-virtual interaction. However, there are challenges in the dynamic implementation of digital twin, such as building a model and maintaining consistency.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Chemistry, Multidisciplinary
Niki Kousi, Christos Gkournelos, Sotiris Aivaliotis, Konstantinos Lotsaris, Angelos Christos Bavelos, Panagiotis Baris, George Michalos, Sotiris Makris
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)
Article
Computer Science, Artificial Intelligence
Manuel Mueller, Tamas Ruppert, Nasser Jazdi, Michael Weyrich
Summary: Situation awareness is crucial for collaborative robots in human-centered, dynamic environments. This paper proposes a metric to measure the state of situation awareness and adapts it to the collaborative robot domain. The effectiveness of the proposed approach is evaluated using the Robotino platform, with results compared to existing research, highlighting the advantages of this approach. Expectations are that this method will significantly improve the performance of cobots in human-robot collaboration and enhance communication and understanding between humans and machines.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Green & Sustainable Science & Technology
Gaurav Garg, Vladimir Kuts, Gholamreza Anbarjafari
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, Interdisciplinary Applications
Sung Ho Choi, Kyeong-Beom Park, Dong Hyeon Roh, Jae Yeol Lee, Mustafa Mohammed, Yalda Ghasemi, Heejin Jeong
Summary: This study introduces a novel integrated mixed reality system using deep learning and digital twin generation to accurately measure minimum safe distance and provide task assistance for human operators. By tracking the shared workplace and providing user-centric visualization through smart MR glasses, the system ensures safe and effective human-robot collaboration.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Chemistry, Multidisciplinary
Elisa Prati, Valeria Villani, Margherita Peruzzini, Lorenzo Sabattini
Summary: This paper presents an integrated approach for designing human-robot collaborative workstations using virtual reality technologies. The approach includes automatic generation and organization of physical layout, as well as supporting Human-Machine Interface design.
APPLIED SCIENCES-BASEL
(2021)
Article
Automation & Control Systems
Mejdi Dallel, Vincent Havard, Yohan Dupuis, David Baudry
Summary: This study explores the use of digital twins to generate a dataset for human action recognition, enabling human-robot collaboration in working environments. By simulating assembly tasks, a dataset named InHARD-DT was created and used to train and test a neural network. The proposed method shows effective results.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Review
Computer Science, Interdisciplinary Applications
Frederic Jacob, Eric H. Grosse, Stefan Morana, Cornelius J. Koenig
Summary: The industrial application of collaborative robots in warehouses is driven by factors such as just-in-time delivery, shorter product life cycles, demographic changes, and the Covid-19 pandemic. These robots work alongside human workers, increasing productivity and relieving them of repetitive or strenuous tasks. However, acceptance of human-robot collaboration (HRC) in warehouses can be hindered by concerns such as job loss, stress, effort, and risk to physical integrity. This study analyzes HRC acceptance in warehouses using the Unified Theory of Acceptance and Use of Technology, identifying key factors and providing guidance for future research and managers regarding HRC applicability.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Automation & Control Systems
Qiyue Wang, Wenhua Jiao, Peng Wang, YuMing Zhang
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)
Article
Computer Science, Artificial Intelligence
Hao Li, Wenfeng Ma, Haoqi Wang, Gen Liu, Xiaoyu Wen, Yuyan Zhang, Miying Yang, Guofu Luo, Guizhong Xie, Chunya Sun
Summary: This paper proposes an HRC safety control framework and method based on digital twin, which ensures the safety of HRC through the application of virtual twins in the design and production phases.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Construction & Building Technology
Luis Felipe Gonzalez-Boehme, Eduardo Valenzuela-Astudillo
Summary: This paper discusses the potential of human-robot collaboration and mixed reality (MR) in construction, specifically in wood stereotomy. The authors propose a method that utilizes visual feedback to enable real-time interpretation and execution of operations in collaboration between humans and robots. The experimental results provide insights into the communication requirements for collaborative robot systems in timber frame construction.
Article
Computer Science, Interdisciplinary Applications
Ruoxin Geng, Mian Li, Zongyang Hu, Zixi Han, Ruixiang Zheng
Summary: Smart manufacturing, a major trend in the manufacturing industry, is greatly enhanced by Digital Twin technology, which integrates physical machines and digitized counterparts for improved user experience and production efficiency. However, the mapping from cyberspace to the physical world in Digital Twin has received little attention, and the traditional 2D interactive interface has limitations. This paper proposes a modular-based Digital Twin system for smart manufacturing, establishing real-time, bi-directional mapping through socket communication and integrating remote control and virtual machining functions using virtual reality and augmented reality. The system demonstrates feasibility and effectiveness in a CNC milling machine, with verified control latency and virtual machining accuracy.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Engineering, Industrial
Tariq Masood, Maximilian Kern, P. John Clarkson
Summary: Engineering changes are inevitable for businesses due to various factors, leading to the need for change management to reduce impact. This research adopted a VC approach to assess ECs, identifying design and manufacturing elements with high risk and determining characteristics influencing changeability across VC.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Engineering, Industrial
Ali Ahmad Malik, Tariq Masood, Rehana Kousar
Summary: This study explores the use of human-robot teams to ramp up ventilator production, presenting a model and design guidelines for faster integration. Evaluation of the scenario through continuous human-robot simulation and amplification of results in a discrete event simulation demonstrates the effectiveness of the approach.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Automation & Control Systems
Emre Yildiz, Charles Moller, Arne Bilberg
Summary: Smart manufacturing, driven by the 4th industrial revolution and forces like innovation, competition, and changing demands, requires manufacturing companies to reform and regenerate their product, process, and system models to stay competitive. The digital twin-based virtual factory concept shows potential in supporting manufacturing organizations to adapt to dynamic and complex environments through virtual collaboration and prototyping.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Review
Green & Sustainable Science & Technology
Muhammad Umar Farooq, Amjad Hussain, Tariq Masood, Muhammad Salman Habib
Summary: Pandemics can disrupt supply chains globally, requiring prevention strategies to address the challenges. The COVID-19 pandemic has had a severe impact on global business dynamics, necessitating exploration of supply chain operation management strategies.
Article
Engineering, Electrical & Electronic
Tariq Masood, Johannes Egger
Summary: Although augmented reality (AR) is a key technology in Industry 4.0, its adoption in the industry remains a challenge compared to other technologies, despite decades of existence. Further research is needed to address these challenges and explore the potential for AR systems in industrial applications.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2021)
Article
Green & Sustainable Science & Technology
Amjad Hussain, Muhammad Umar Farooq, Muhammad Salman Habib, Tariq Masood, Catalin Pruncu
Summary: The research aims to investigate the potential of Industry 4.0 technologies in addressing the challenges posed by the COVID-19 pandemic for long-term sustainability. By using an exploratory literature analysis and the Delphi method, ten challenge groups affecting global business dynamics were identified. These challenges were further analyzed and prioritized through the DEMATEL approach, focusing on governmental policies and support, access to customers, and infrastructure as top priority areas. The integration of Delphi with DEMATEL is expected to assist businesses in formulating strategies for business continuity amid future disruptions caused by pandemics like COVID-19.
Article
Engineering, Industrial
Amjad Hussain, Tariq Masood, Haris Munir, Muhammad Salman Habib, Muhammad Umar Farooq
Summary: This research investigates the use of lean transformation approach for achieving resilience in disaster relief operations (DROs) and proves its effectiveness through a case study of industrial fire. Lean tools can help devise pragmatic strategies to improve coordination, communication, capacity building, and awareness for enhanced responsiveness in DROs.
PRODUCTION PLANNING & CONTROL
(2023)
Article
Energy & Fuels
M. Adeel Munir, M. Salman Habib, Amjad Hussain, Muhammad Ali Shahbaz, Adnan Qamar, Tariq Masood, M. Sultan, M. A. Mujtaba, Shahid Imran, Mudassir Hasan, Muhammad Saeed Akhtar, Hafiz Muhammad Uzair Ayub, Chaudhary Awais Salman
Summary: Researchers conducted a systematic literature review and evaluated 136 articles to explore the potential and challenges of blockchain in sustainable supply chain management. They discussed the economic, environmental, and social impacts of blockchain, identified emerging trends in circular supply chains, and suggested future research directions. The study highlights the critical success factors for improving supply chain sustainability through effective traceability, transparency, and resource efficiency.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Automation & Control Systems
Emre Yildiz, Charles Moller, Arne Bilberg
Summary: Manufacturing organisations need to adapt and compete by strengthening their chains of competencies, which can be achieved through technological advancements and integrated solutions. Studies focusing on conceptual and practical aspects of comprehensive and integrated solutions in the manufacturing domain are limited. This paper aims to fill this gap by discussing the theoretical foundations of DT-based VF, extending it to virtual enterprise, and providing managerial guidelines based on framed concepts and theories.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Review
Energy & Fuels
Hamzah Khan, Tariq Masood
Summary: Energy systems are undergoing transformation, with the incorporation of distributed energy resources and blockchain technology bringing positive impact to smart grids. This article highlights the key areas of blockchain energy research, including transactive energy, electric vehicle integration, privacy and security, and demand response.
Article
Chemistry, Multidisciplinary
Mandana Moshiri, Mohsin Raza, Mohamed Sahlab, Ali Ahmad Malik, Arne Bilberg, Guido Tosello
Summary: This article presents a methodology for comparing additive and conventional subtractive technologies in the production of metal injection molding tools. The comparison is based on performance and cost analysis using computer simulation and economic analysis. It provides insights into potential production bottlenecks and major cost drivers in molding tool production.
APPLIED SCIENCES-BASEL
(2022)
Review
Energy & Fuels
Muhammad Jameel Labaran, Tariq Masood
Summary: This paper systematically reviews the interface of Green Supply Chain Management (GSCM), Industry 4.0, and renewable energy, examining current practices in GSCM, the role of Industry 4.0 technologies, and sustainability and supply chain issues in the renewable energy sector. The study categorizes various GSCM practices and identifies key technologies such as blockchain and Big Data. Challenges in the renewable energy supply chain are highlighted, and the potential of Industry 4.0 driven GSCM in addressing these challenges is discussed. Relevant managerial implications and future research directions are also presented.
Review
Computer Science, Information Systems
Saidi Atanda Mustapha, Mouhamad Shaker Ali Agha, Tariq Masood
Summary: This study investigates the academic state of the art and advances in using collaborative resource sharing as a reactive method for supply chain recovery. The findings show that collaborative sharing of labor and material resources is effective for supply chain recovery, with labor resources contributing more to the recovery process. The combination of information resources and material resources is crucial in reducing the impact of disruptive supply chain risks caused by COVID-19.
Article
Management
Krichelle Medel, Rehana Kousar, Tariq Masood
JOURNAL OF HUMANITARIAN LOGISTICS AND SUPPLY CHAIN MANAGEMENT
(2020)
