Article
Computer Science, Interdisciplinary Applications
Atieh Hanna, Simon Larsson, Per-Lage Gotvall, Kristofer Bengtsson
Summary: This interdisciplinary paper examines the safety and regulation of human-robot collaboration, specifically focusing on the views of stakeholders in Sweden. The case study reveals that stakeholders within the industry are generally hesitant towards human-robot collaboration due to current regulation and safety standards being significant obstacles. The paper identifies problems with existing regulation, proposes a new safety approach called Deliberative Safety, and suggests a taxonomy and five safety measures to support intelligent human-robot collaboration.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Engineering, Industrial
Min Cai, Ziling Ji, Qin Li, Xinggang Luo
Summary: This study focuses on an industrial exoskeleton and its safety in human-robot collaboration. Relevant literature was analyzed to identify influencing factors, and a group decision-making method was used to create evaluation indicators. The physical safety evaluation index system and a model for evaluating physical safety were established based on these indicators. The perceived safety was also evaluated through a questionnaire. The proposed model was then used to evaluate the safety of three different industrial exoskeletons, providing a comparative analysis for quick and effective selection.
Article
Mathematics, Interdisciplinary Applications
Guang Jin, Shuai Ma, Zhenghui Li
Summary: This paper studies the kinematic dynamic simulation modeling of industrial robots in the Industry 4.0 environment and proposes a method to calculate the influence weight of each parameter error. The error model and error accumulation of each parameter in motion are analyzed, the inverse solution is optimized, and interpolation analysis is carried out. Comparisons are made between trajectory planning methods, and the kinetic characteristics of the robot are tested and verified through experimental methods.
DISCRETE DYNAMICS IN NATURE AND SOCIETY
(2022)
Review
Social Sciences, Interdisciplinary
Marina Marinelli
Summary: Industry 4.0 represents the integration of information, objects, and people in cyber-physical scenarios to transform factories into intelligent environments. Industry 5.0 aims to bring back the human factor in the production system through human-robot collaboration. This paper discusses the evolution and implementation of Industry 4.0 in construction, clarifies the scope of Industry 5.0, and assesses its momentum as a literature trend.
Article
Green & Sustainable Science & Technology
Muhammad Ali Musarat, Wesam Salah Alaloul, Muhammad Irfan, Pravin Sreenivasan, Muhammad Babar Ali Rabbani
Summary: Safety is a top concern in the global construction industry. The use of Industrial Revolution 4.0 technologies such as robotics, automation, BIM, augmented reality, and wireless monitoring can improve the health and safety of construction workers and enhance construction safety management. This research utilizes the AHP technique to analyze the potential of IR-4.0 technologies in addressing health and safety issues in the Malaysian construction industry. The findings indicate that BIM and wireless monitoring and sensors are of highest importance, suggesting their prioritization for improving current health and safety performances in the industry.
Article
Computer Science, Artificial Intelligence
Weidong Li, Yudie Hu, Yong Zhou, Duc Truong Pham
Summary: In this survey paper, the importance of human-robot collaboration (HRC) in the industry is highlighted. The paper provides an update on standards and implementation approaches for HRC safety, covering industrial robots, collaborative robots, and HRC. Various approaches to HRC safety are surveyed from the perspectives of pre-collision and post-collision, including sensing, prediction, learning, planning/replanning, and compliance control. The paper also discusses challenging issues and future prospects for HRC safety, providing recommendations for stakeholders in designing HRC-enabled industrial systems.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Computer Science, Artificial Intelligence
Astrid Weiss, Ann-Kathrin Wortmeier, Bettina Kubicek
Summary: With the emergence of Industry 4.0 and cobots, the working conditions in industrial settings are undergoing significant changes. The shift from automation to actual collaboration with robots has opened up a new problem space for investigations, where a practice lens is crucial. A research agenda focused on social practice and workplace studies is proposed to explore the sociotechnical environment involving cobots at individual, team, and organizational levels.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
(2021)
Article
Multidisciplinary Sciences
Armando Walter Colombo, Stamatis Karnouskos, Christoph Hanisch
Summary: The digital transformation in industry requires the establishment of an industrial network based on service cooperation between digital assets and humans, leading to a fundamental shift in mindset. The digitization process along the three dimensions of the Industry 4.0 reference architecture model is crucial for achieving digital transformation.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2021)
Article
Computer Science, Interdisciplinary Applications
Debasmita Mukherjee, Kashish Gupta, Li Hsin Chang, Homayoun Najjaran
Summary: In response to increased global competition, manufacturers are required to be more flexible in meeting customer demands, leading to the introduction of human operators and robots for their respective strengths, with a growing interest in shared human-robot workspace. Research in industrial human-robot collaboration focuses on human-robot safety, collaboration modes, and robot autonomy and adaptability.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Robotics
Andrea Pupa, Mohammad Arrfou, Gildo Andreoni, Cristian Secchi
Summary: The new paradigm of human-robot collaboration has led to the creation of shared work environments, which has prompted an update in safety regulations to address the safety challenges that come with close interaction between humans and robots. In order to ensure efficiency and safety in robot operations, a two layers architecture for trajectory planning and scaling has been proposed.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Chemistry, Analytical
Abir Gallala, Atal Anil Kumar, Bassem Hichri, Peter Plapper
Summary: This paper proposes a digital twin approach to address the challenges of human-robot interactions in the rapidly developing manufacturing industry. By utilizing Industry 4.0 technologies such as mixed reality, the Internet of Things, collaborative robots, and artificial intelligence, efficient human-robot interactions are achieved. The proposed method has benefits like real-time simulation and flexible system integration.
Article
Engineering, Industrial
Leonardo Moraes Aguiar Lima Dos Santos, Matheus Becker da Costa, Joao Victor Kothe, Guilherme Brittes Benitez, Jones Luis Schaefer, Ismael Cristofer Baierle, Elpidio Oscar Benitez Nara
Summary: This study identifies key and collaborative technologies related to Industry 4.0, and proposes five collaborative networks with distinct goals. This will help managers improve their focus on priorities regarding the implementation of Industry 4.0 technologies.
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2021)
Review
Food Science & Technology
Abdo Hassoun, Abderrahmane Ait-Kaddour, Adnan M. Abu-Mahfouz, Nikheel Bhojraj Rathod, Farah Bader, Francisco J. Barba, Alessandra Biancolillo, Janna Cropotova, Charis M. Galanakis, Anet Rezek Jambrak, Jose M. Lorenzo, Ingrid Mage, Fatih Ozogul, Joe Regenstein
Summary: Climate change, population growth, food waste, and the risk of new disease outbreaks pose significant challenges to food sustainability and global security. Industry 4.0 technologies have emerged as a vital driver for sustainable development, transforming the food industry and offering solutions to these challenges. However, groundbreaking sustainable solutions can only be achieved by combining multiple technologies simultaneously.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2023)
Review
Chemistry, Analytical
Andrea Bonci, Pangcheng David Cen Cheng, Marina Indri, Giacomo Nabissi, Fiorella Sibona
Summary: The capability of perception is crucial for human-robot interaction in industrial environments. As industrial settings require higher levels of automation to meet fast-paced and cost-effective market demands, robots must be able to sense human presence and intentions to prevent decreases in productivity and safety hazards. Robots with enhanced perception and interaction capabilities will play an increasingly important role in collaborative and cooperative applications within shared industrial spaces.
Article
Computer Science, Information Systems
Xun Ye, Seung Ho Hong, Won Seok Song, Yu Chul Kim, Xiongfeng Zhang
Summary: The Industry 4.0 program aims to realize industrial CPS with digital industrial components interacting to meet flexible industrial demands. Asset administration shells (AAS) are practical embodiments of the digital twin concept, achieved through the integration of operation technologies and information and communication technologies.
Article
Thermodynamics
Preeti Singh, Sourav Khanna, Vijay Mudgal, Sanjeev Newar, Vashi Sharma, Senthilarasu Sundaram, K. S. Reddy, Tapas K. Mallick, Victor Becerra, David Hutchinson, Jovana Radulovic, Rinat Khusainov
Summary: In this study, three dimensional analysis of solar cells under non-uniform solar flux was conducted, aiming to obtain an analytical expression for the three dimensional non-uniform temperature distribution of the cell. The effects of wind direction, wind speed, inclination, and solar irradiance on temperature distribution, heat losses and cell efficiency were investigated for different types of solar cells. The results showed that efficiency decreases with an increase in wind azimuthal from 0 degrees to 90 degrees for all types of solar cells.
APPLIED THERMAL ENGINEERING
(2021)
Article
Nuclear Science & Technology
Vineet Vajpayee, Victor Becerra, Nils Bausch, Jiamei Deng, S. R. Shimjith, A. John Arul
Summary: This study proposes a control design scheme for a nuclear power plant by integrating the optimal LQG control with the robust ISM technique, and further enhances the effectiveness and robustness by integrating the LQG-ISM technique with loop transfer recovery approach. The designed controllers demonstrate robust performance, minimum control efforts, and effective set-point tracking in the presence of disturbances and parametric uncertainties.
PROGRESS IN NUCLEAR ENERGY
(2021)
Article
Energy & Fuels
Vineet Vajpayee, Elif Top, Victor M. Becerra
Summary: This paper presents the transient stability analysis of a pressurised water-type nuclear power plant following faults and disturbances affecting the electricity grid. The study focuses on the interaction between the nuclear power plant and electric grid, as well as the performance under various scenarios through modeling and simulation.
Article
Nuclear Science & Technology
Vineet Vajpayee, Victor Becerra, Nils Bausch, Jiamei Deng, S. R. Shimjith, A. John Arul
Summary: This study proposes a new hybrid control strategy that effectively integrates various control methods to achieve steady-state control of a nuclear power plant, demonstrating its performance advantages through simulation.
ANNALS OF NUCLEAR ENERGY
(2021)
Article
Energy & Fuels
Sree Harsha Bandaru, Victor Becerra, Sourav Khanna, Harold Espargilliere, Law Torres Sevilla, Jovana Radulovic, David Hutchinson, Rinat Khusainov
Summary: The study proposes a model based on multi-criteria decision analysis for evaluating the feasibility of solar energy projects and determining the best options. In a real-world photovoltaic solar farm project, the results indicate that options without battery storage and more off-taker connections are more favorable.
Review
Energy & Fuels
Sree Harsha Bandaru, Victor Becerra, Sourav Khanna, Jovana Radulovic, David Hutchinson, Rinat Khusainov
Summary: Solar energy has been accessible and affordable for decades, but faces efficiency and space constraints. Thus, Photovoltaic Thermal (PVT) systems combine the advantages of photovoltaic cells and solar thermal collectors to overcome these challenges and show potential for future research and application.
Article
Engineering, Electrical & Electronic
Vineet Vajpayee, Victor Becerra, Nils Bausch, Jiamei Deng, S. R. Shimjith, A. John Arul
Summary: This work introduces adaptive control strategies for controlling a pressurized water reactor (PWR) nuclear power plant, including an L-1-adaptive-based state-feedback control technique and a robust L-1-adaptive control technique combined with LTR technology. Linearization of the NPP model and simulations on subsystems validate the effectiveness of the proposed scheme in handling uncertainties and disturbances.
IEEE TRANSACTIONS ON NUCLEAR SCIENCE
(2021)
Article
Energy & Fuels
Vijay Mudgal, Preeti Singh, Sourav Khanna, Chandan Pandey, Victor Becerra, Tapas K. Mallick, K. S. Reddy
Summary: The study explores the integration of renewable energy sources to provide reliable energy in a hot and humid climate, leading to cost savings and reduced energy consumption. The use of phase change material in a hybrid renewable energy system proves to be effective in optimizing performance and decreasing energy costs.
Article
Computer Science, Information Systems
Amine Naimi, Jiamei Deng, Vineet Vajpayee, Victor Becerra, S. R. Shimjith, A. John Arul
Summary: This study introduces a nonlinear control scheme combining intelligent feedback linearization and model predictive control for a pressurized water reactor. The system performance is improved through system identification, feedback linearization, and MPC controller design, showing superior performance compared to traditional linear control strategies. Numerical measures are used to compare and analyze the performances of the two control strategies.
Article
Thermodynamics
Sourav Khanna, Preeti Singh, Vijay Mudgal, Sanjeev Newar, Vashi Sharma, Victor Becerra, K. S. Reddy, Tapas K. Mallick
Summary: This study investigates the use of Thermal Conductivity Enhancing Containers (TCEC) to improve the charging efficiency, thermal energy storage, and electrical efficiency of solar photovoltaics (PV) with phase change material (PCM). The results show that the proposed TCEC can significantly increase the charging efficiency and thermal energy storage rate of PCM, leading to an improvement in the PV electrical efficiency.
Article
Nuclear Science & Technology
Piyush Surjagade, Jiamei Deng, Vineet Vajpayee, Victor M. Becerra, S. R. Shimjith, A. John Arul
Summary: This paper presents an arbitrary order continuous-time sliding mode controller based on the super-twisting algorithm for a nonlinear pressurized water nuclear power plant. It achieves finite time convergence and enhanced tracking performance by designing a proportional-derivative terminal sliding surface. The proposed controller is chattering free, robust against time uncertainties, and suitable for large-scale complex systems.
PROGRESS IN NUCLEAR ENERGY
(2022)
Article
Nuclear Science & Technology
T. Muthuraj, John Arul, Piyush V. Surjagade, Vineet Vajpayee, Victor Becerra, Jiamei Deng
Summary: In this study, a fault-tolerant and robust controller combining feedforward and feedback control schemes is proposed. The controller utilizes a model predictive forward control unit for major corrections and a limited PID feedback controller for bounded uncertain parts. The controller's stability analysis is conducted numerically using Lyapunov's direct method with the assistance of Particle Swarm Optimization technique. The proposed controller (IDCC) exhibits excellent load tracking performance compared to SMC and PID controllers in the presence of model error. Furthermore, for the case of principal feedback signal failure, IDCC maintains reactor power within a safer bound while PID and SMC drive it to unsafe levels.
PROGRESS IN NUCLEAR ENERGY
(2023)
Article
Mathematics
Jose Joaquin Sainz, Victor Becerra, Elias Revestido Herrero, Jose Ramon Llata, Francisco J. Velasco
Summary: Nowadays, the precise dynamic positioning of maritime structures and the use of preconstructed elements have become widespread. To minimize operational risks and perform correct dynamic positioning, a new approach based on L1 adaptive control technique is proposed. It was concluded that the proposed L1 adaptive controller performs correct dynamic positioning and reduces line tension, leading to important improvements in terms of economic and safety repercussions.
Article
Green & Sustainable Science & Technology
Shan Shan, Siliang Yang, Victor Becerra, Jiamei Deng, Honglei Li
Summary: The emergence of distributed energy has changed the traditional role of the consumer. Peer-to-peer energy trading models have eliminated the need for intermediaries, creating opportunities for a more decentralised and open energy market.
Proceedings Paper
Engineering, Aerospace
Denggao Huang, Victor Becerra, Hongjie Ma, Sarinova Simandjuntak, Alexander Fraess-Ehrfeld
Summary: Drones are agile and versatile flying platforms that can be very useful for inspecting infrastructure, improving safety and efficiency. However, little attention has been given to the management of drone batteries. This study proposes an intelligent battery management system that accurately monitors the state of charge and state of health of drone batteries.
2022 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS)
(2022)
