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Journal articles on the topic 'Human-in-the-Loop Cyber-Physical System'

Author: Grafiati

Published: 4 September 2021

Last updated: 29 July 2025

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1

Gil, Miriam, Manoli Albert, Joan Fons, and Vicente Pelechano. "Engineering human-in-the-loop interactions in cyber-physical systems." Information and Software Technology 126 (May 19, 2020): 106349. https://doi.org/10.1016/j.infsof.2020.106349.

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Context: Cyber-Physical Systems (CPSs) are gradually and widely introducing autonomous capabilities into ev- erything. However, human participation is required to accomplish tasks that are better performed with humans (often called human-in-the-loop). In this way, human-in-the-loop solutions have the potential to handle com- plex tasks in unstructured environments, by combining the cognitive skills of humans with autonomous systems behaviors. Objective: The objective of this paper is to provide appropriate techniques and methods to help designers analyze and design human-in-the-loop solutions.

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Nota, Giancarlo, and Gennaro Petraglia. "The Design of Human-in-the-Loop Cyber-Physical Systems for Monitoring the Ecosystem of Historic Villages." Smart Cities 7, no. 5 (2024): 2966–94. http://dx.doi.org/10.3390/smartcities7050116.

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Today, historic villages represent a widespread and relevant reality of the Italian administrative structure. To preserve their value for future generations, smart city applications can contribute to implement effective monitoring and decision-making processes devoted to safeguarding their fragile ecosystem. Starting from a situational awareness model, this study proposes a method for designing human-in-the-loop cyber-physical systems that allow the design of monitoring and decision-making applications for historic villages. Both the model and the design method can be used as a reference for t

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Ganesan, Anusha, Anand Paul, Ganesan Nagabushnam, and Malik Junaid Jami Gul. "Human-in-the-Loop Predictive Analytics Using Statistical Learning." Journal of Healthcare Engineering 2021 (July 29, 2021): 1–14. http://dx.doi.org/10.1155/2021/9955635.

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The human-in-the-loop cyber-physical system provides numerous solutions for the challenges faced by the doctors or medical practitioners. There is a linear trend of advancement and automation in the medical field for the early diagnosis of several diseases. One of the critical and challenging diseases in the medical field is coma. In the medical research field, currently, the prediction of these diseases is performed only using the data gathered from the devices only; however, the human’s input is much essential to accurately understand their health condition to take appropriate decision on ti

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Sinche, Soraya, Pablo Hidalgo, José Fernandes, et al. "Analysis of Student Academic Performance Using Human-in-the-Loop Cyber-Physical Systems." Telecom 1, no. 1 (2020): 18–31. http://dx.doi.org/10.3390/telecom1010003.

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Is it possible to analyze student academic performance using Human-in-the-Loop Cyber-Physical Systems (HiLCPS) and offering personalized learning methodologies? Taking advantage of the Internet of Things (IoT) and mobile phone sensors, this article presents a system that can be used to adapt pedagogical methodologies and to improve academic performance. Thus, in this domain, the present work shows a system capable of analyzing student behavior and the correlation with their academic performance. Our system is composed of an IoT application named ISABELA and a set of open-source technologies pr

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Garcia, Manuel A. Ruiz, Rafael Rojas, Luca Gualtieri, Erwin Rauch, and Dominik Matt. "A human-in-the-loop cyber-physical system for collaborative assembly in smart manufacturing." Procedia CIRP 81 (2019): 600–605. http://dx.doi.org/10.1016/j.procir.2019.03.162.

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Bagozi, Ada, Devis Bianchini, and Valeria De Antonellis. "Context-Based Resilience in Cyber-Physical Production System." Data Science and Engineering 6, no. 4 (2021): 434–54. http://dx.doi.org/10.1007/s41019-021-00172-2.

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AbstractCyber-physical systems are hybrid networked cyber and engineered physical elements that record data (e.g. using sensors), analyse them using connected services, influence physical processes and interact with human actors using multi-channel interfaces. Examples of CPS interacting with humans in industrial production environments are the so-called cyber-physical production systems (CPPS), where operators supervise the industrial machines, according to the human-in-the-loop paradigm. In this scenario, research challenges for implementing CPPS resilience, promptly reacting to faults, conc

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Korobeynikov, A. G., A. V. Shukalov, I. O. Zharinov, and O. O. Zharinov. "Cyber-physical and human control of technological process and equipment sensitive to failures." IOP Conference Series: Earth and Environmental Science 839, no. 4 (2021): 042081. http://dx.doi.org/10.1088/1755-1315/839/4/042081.

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Abstract The cyber-physical production automatizing way being studied based on ergative component implementation in the control system to regulate technological processes and equipment. The ergative component has a function of human control correcting cyber-physical systems behavior when being controlled parameters deviation is detected. Human control is necessary to ensure the technological safety of the facility and is used in the event of equipment failure to prevent emergencies and man-made catastrophes. Human control commands are realized through the man information action over the regula

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Sobb, Theresa, Nour Moustafa, and Benjamin Turnbull. "Responsible Resilience in Cyber–Physical–Social Systems: A New Paradigm for Emergent Cyber Risk Modeling." Future Internet 17, no. 7 (2025): 282. https://doi.org/10.3390/fi17070282.

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As cyber systems increasingly converge with physical infrastructure and social processes, they give rise to Complex Cyber–Physical–Social Systems (C-CPSS), whose emergent behaviors pose unique risks to security and mission assurance. Traditional cyber–physical system models often fail to address the unpredictability arising from human and organizational dynamics, leaving critical gaps in how cyber risks are assessed and managed across interconnected domains. The challenge lies in building resilient systems that not only resist disruption, but also absorb, recover, and adapt—especially in the f

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Cao, Junwei, Jian Jin, Yangyang Ming, et al. "Human-Cyber-Physical Systems for Energy Internet—A Review." Energies 16, no. 15 (2023): 5624. http://dx.doi.org/10.3390/en16155624.

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As the research of HCPS in EI is ongoing, an increasing number of problems should be addressed, such as the leading role or aid function definition of humans, the coordination of humans with cyber and physical equipment, the state awareness of information handling, etc. Therefore, an increasing number of advanced techniques should be considered and adopted, such as IOT, AI and big data, etc., the main target of which is to improve the timely, digitalized, informationized and intelligent characters of the related tasks. This paper first introduces the applications of CPS in every industry, espe

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de Mello, Ricardo C., Mario F. Jimenez, Moises R. N. Ribeiro, Rodrigo Laiola Guimarães, and Anselmo Frizera-Neto. "On Human-in-the-Loop CPS in Healthcare: A Cloud-Enabled Mobility Assistance Service." Robotica 37, no. 9 (2019): 1477–93. http://dx.doi.org/10.1017/s0263574719000079.

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SummaryDespite recent advancements on cloud-enabled and human-in-the-loop cyber-physical systems, there is still a lack of understanding of how infrastructure-related quality of service (QoS) issues affect user-perceived quality of experience (QoE). This work presents a pilot experiment over a cloud-enabled mobility assistive device providing a guidance service and investigates the relationship between QoS and QoE in such a system. In our pilot experiment, we employed the CloudWalker, a system linking smart walkers and cloud platforms, to physically interact with users. Different QoS condition

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Iwai, Masayo, Masaki Haruna, and Tamio Tanikawa. "Toward a Prosperous Future Where Humans and Robots Cooperate." Journal of Robotics and Mechatronics 35, no. 3 (2023): 533–46. http://dx.doi.org/10.20965/jrm.2023.p0533.

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Based on the roadmap formulated by “Consortium for Human-Centric Manufacturing Innovation” (here-in after referred to as HCMI Consortium) of National Institute of Advanced Industrial Science and Technology, an industry-academia-government collaborative platform launched on April 10, 2019, this paper introduces initiatives and future prospects for human-centric robotics that collaborate with humans and human-in-the-loop cyber-physical system to support future industrial infrastructure for a sustainable and prosperous society. In particular, in cooperation with humans, it is important to underst

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Jeong, Sangsoo, Youngmi Baek, and Sang H. Son. "Component-Based Interactive Framework for Intelligent Transportation Cyber-Physical Systems." Sensors 20, no. 1 (2020): 264. http://dx.doi.org/10.3390/s20010264.

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While emerging technology for self-driving automation in vehicles progresses rapidly, the transition to an era of roads full of fully connected and automated vehicles (CAVs) may take longer than expected. Until then, it is inevitable that CAVs should coexist and interact with drivers of non-autonomous vehicles (NAVs) in urban roads. During this period of transition, it is critical to provide road safety with the mixed vehicular traffic and uncertainty caused by human drivers. To investigate the issues caused by the coexistence and interaction with humans, we propose to build a component-based

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Gay, Chris, Barry Horowitz, John Elshaw, Philip Bobko, and Inki Kim. "Operator Suspicion and Decision Responses to Cyber-Attacks on Unmanned Ground Vehicle Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (2017): 226–30. http://dx.doi.org/10.1177/1541931213601540.

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Cyber-attacks against cyber-physical systems (CPS), such as unmanned vehicles, are emergent threats with potentially catastrophic impacts, and this issue has drawn considerable interest by military agencies. Abundant body of research has attempted to address the physical security aspects of CPS; however, research addressing the human dimensions of cyber-attack detection and responses from an operator and operational perspective is sparse. This research has provided a novel probe into the human factors affecting operator resilience in responding to cyber-attacks, which are situations characteri

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Tan, Qingmeng, Yifei Tong, Shaofeng Wu, and Dongbo Li. "Anthropocentric Approach for Smart Assembly: Integration and Collaboration." Journal of Robotics 2019 (February 3, 2019): 1–8. http://dx.doi.org/10.1155/2019/3146782.

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Recently, anthropocentric or human-centric approaches renewed its importance in smart manufacturing especially for assembly applications where human dexterity and informal knowledge are dispensable at present and in the near future. This paper analyzes the integration, design, and collaboration issues regarding anthropocentric researches in the past few years mainly in assembly domain. First of all, towards closed-loop system integration, the researches on integrating human in the cyber-physical system are elaborated and summarized. Then, human-centric designs (HCD) especially in shop-floor as

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Shintani, Hideyuki, Tomomi Aoyama, and Ichiro Koshijima. "Study on High Resilient Structures for IoT Systems to Detect Accidents." Journal of Disaster Research 12, no. 5 (2017): 1073–80. http://dx.doi.org/10.20965/jdr.2017.p1073.

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In order to operate the Internet of Things (IoT) or Cyber Physical Systems (CPS) in the real world, the system needs to be structured to have people in the real world incorporated as a part of its process: Human-in-the-Loop CPS (HITLCPS). With people in the real world incorporated as a part of its process, the system must have a secure structure to be able to continue operating normally. With sensors, actuators and other devices connected in a network, it becomes vulnerable to cyberattacks; hence, its framework must be resilient and secure in order to ensure its safety in the face of any distu

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El-Haouzi, Hind Bril, Etienne Valette, Bettina-Johanna Krings, and António Brandão Moniz. "Social Dimensions in CPS & IoT Based Automated Production Systems." Societies 11, no. 3 (2021): 98. http://dx.doi.org/10.3390/soc11030098.

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Since the 1970s, the application of microprocessor in industrial machinery and the development of computer systems have transformed the manufacturing landscape. The rapid integration and automation of production systems have outpaced the development of suitable human design criteria, creating a deepening gap between humans and systems in which human was seen as an important source of errors and disruptions. Today, the situation seems different: the scientific and public debate about the concept of Industry 4.0 has raised awareness about the central role humans have to play in manufacturing sys

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Ruppert, Tamas, and Janos Abonyi. "Software Sensor for Activity-Time Monitoring and Fault Detection in Production Lines." Sensors 18, no. 7 (2018): 2346. http://dx.doi.org/10.3390/s18072346.

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Industry 4.0-based human-in-the-loop cyber-physical production systems are transforming the industrial workforce to accommodate the ever-increasing variability of production. Real-time operator support and performance monitoring require accurate information on the activities of operators. The problem with tracing hundreds of activity times is critical due to the enormous variability and complexity of products. To handle this problem a software-sensor-based activity-time and performance measurement system is proposed. To ensure a real-time connection between operator performance and varying pro

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18

Wang, Zhuo, Lin Bi, Jinbo Li, Zhaohao Wu, and Ziyu Zhao. "Development Status and Trend of Mine Intelligent Mining Technology." Mathematics 13, no. 13 (2025): 2217. https://doi.org/10.3390/math13132217.

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Intelligent mining technology, as the core driving force for the digital transformation of the mining industry, integrates cyber-physical systems, artificial intelligence, and industrial internet technologies to establish a “cloud–edge–end” collaborative system. In this paper, the development trajectory of intelligent mining technology has been systematically reviewed, which has gone through four stages: stand-alone automation, integrated automation and informatization, digital and intelligent initial, and comprehensive intelligence. And the current development status of “cloud–edge–end” techn

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Zhou, Peng, Decheng Zuo, Kun Hou, et al. "A Comprehensive Technological Survey on the Dependable Self-Management CPS: From Self-Adaptive Architecture to Self-Management Strategies." Sensors 19, no. 5 (2019): 1033. http://dx.doi.org/10.3390/s19051033.

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Cyber Physical Systems (CPS) has been a popular research area in the last decade. The dependability of CPS is still a critical issue, and few surveys have been published in this domain. CPS is a dynamic complex system, which involves various multidisciplinary technologies. To avoid human errors and to simplify management, self-management CPS (SCPS) is a wise choice. To achieve dependable self-management, systematic solutions are necessary to verify the design and to guarantee the safety of self-adaptation decisions, as well as to maintain the health of SCPS. This survey first recalls the conce

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Gil, Miriam, Manoli Albert, Joan Fons, and Vicente Pelechano. "Designing human-in-the-loop autonomous Cyber-Physical Systems." International Journal of Human-Computer Studies 130 (October 2019): 21–39. http://dx.doi.org/10.1016/j.ijhcs.2019.04.006.

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21

Sowe, Sulayman K., Eric Simmon, Koji Zettsu, Frederic de Vaulx, and Irena Bojanova. "Cyber-Physical-Human Systems: Putting People in the Loop." IT Professional 18, no. 1 (2016): 10–13. http://dx.doi.org/10.1109/mitp.2016.14.

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Gil, Miriam, Manoli Albert, Joan Fons, and Vicente Pelechano. "Designing Human-in-the-Loop Autonomous Cyber-Physical Systems." International Journal of Human-Computer Studies 130 (May 4, 2019): 21–39. https://doi.org/10.1016/j.ijhcs.2019.04.006.

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Even though full autonomy in Cyber-Physical Systems (CPSs) is a challenge that has been confronted in different application domains and industrial sectors, the current scenario still requires human intervention in these autonomous systems in order to accomplish tasks that are better performed with human-in-the-loop. Humans, machines, and software systems are required to interact and understand each other in order to work together in an effective and robust way. This human integration introduces an important number of challenges and problems to be solved in order to ach

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Schirner, Gunar, Deniz Erdogmus, Kaushik Chowdhury, and Taskin Padir. "The Future of Human-in-the-Loop Cyber-Physical Systems." Computer 46, no. 1 (2013): 36–45. http://dx.doi.org/10.1109/mc.2013.31.

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Gil, Miriam, Manoli Albert, Joan Fons, and Vicente Pelechano. "Engineering human-in-the-loop interactions in cyber-physical systems." Information and Software Technology 126 (October 2020): 106349. http://dx.doi.org/10.1016/j.infsof.2020.106349.

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Hara, Tatsunori, Yuki Okada, and Jun Ota. "Reorganizing Cyber-Physical Configurations using User Activities for Human-in-the-Loop Cyber-Physical Systems." IFAC-PapersOnLine 56, no. 2 (2023): 9703–8. http://dx.doi.org/10.1016/j.ifacol.2023.10.281.

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Jirgl, M., Z. Bradac, and P. Fiedler. "Human-in-the-Loop Issue in Context of the Cyber-Physical Systems." IFAC-PapersOnLine 51, no. 6 (2018): 225–30. http://dx.doi.org/10.1016/j.ifacol.2018.07.158.

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Jolfaei, Alireza, Muhammad Usman, Manuel Roveri, Michael Sheng, Marimuthu Palaniswami, and Krishna Kant. "Guest Editorial: Computational Intelligence for Human-in-the-Loop Cyber Physical Systems." IEEE Transactions on Emerging Topics in Computational Intelligence 6, no. 1 (2022): 2–5. http://dx.doi.org/10.1109/tetci.2021.3139998.

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Emmanouilidis, Christos, Petros Pistofidis, Luka Bertoncelj, et al. "Enabling the human in the loop: Linked data and knowledge in industrial cyber-physical systems." Annual Reviews in Control 47 (2019): 249–65. http://dx.doi.org/10.1016/j.arcontrol.2019.03.004.

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Strobbe, Charlotte, Sophia Salas Cordero, Rob Vingerhoeds, and Stéphane Valès. "Towards a novel model-based multi-disciplinary design approach for human cyber-physical systems." Journal of Integrated Design and Process Science: Transactions of the SDPS, Official Journal of the Society for Design and Process Science 27, no. 3-4 (2023): 221–34. https://doi.org/10.1177/10920617241295885.

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In recent years, a transition from the automation-centric Industry 4.0 to a more human-centered Industry 5.0 emerged. Going beyond the efficiency and productivity achieved with Industry 4.0, respect for human values and contribution to society’s vital needs came in the spotlight. Human-Cyber-Physical Systems (HCPSs) and their development are expected to provide features such as collaborative intelligence, adaptability, and resilience. Such features may be obtained by leveraging the consideration of the human (user/operator) early on in the design process and the use of capabilities such as int

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Jirgl, M., Z. Bradac, and P. Fiedler. "Adaptive Human Control Model and its Usability in Modeling of Human-in-the-loop Cyber Physical Systems." IFAC-PapersOnLine 52, no. 27 (2019): 415–20. http://dx.doi.org/10.1016/j.ifacol.2019.12.697.

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Madni, Azad M., Michael Sievers, and Carla Conaway Madni. "ADAPTIVE CYBER-PHYSICAL-HUMAN SYSTEMS: Exploiting Cognitive Modeling and Machine Learning in the Control Loop." INCOSE International Symposium 28, no. 1 (2018): 1067–77. http://dx.doi.org/10.1002/j.2334-5837.2018.00534.x.

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Madni, Azad M., Michael Sievers, and Carla Conaway Madni. "Adaptive Cyber-Physical-Human Systems: Exploiting Cognitive Modeling and Machine Learning in the Control Loop." INSIGHT 21, no. 3 (2018): 87–93. http://dx.doi.org/10.1002/inst.12216.

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Marculescu, Radu, and Jorge Sá Silva. "Editorial Special Section on Emerging Edge AI for Human-in-the-Loop Cyber Physical Systems." IEEE Transactions on Emerging Topics in Computing 13, no. 1 (2025): 3–4. https://doi.org/10.1109/tetc.2024.3472428.

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Luster, Maya S., and Brandon J. Pitts. "A Preliminary Investigation into Learning Behaviors in Complex Environments for Human-in-the-Loop Cyber-Physical Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, no. 1 (2021): 42–46. http://dx.doi.org/10.1177/1071181321651222.

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The field of Cyber-Physical Systems (CPS) is increasingly recognizing the importance of integrating Human Factors for Human-in-the-loop CPS (HiLCPS) developments. This is because psychological, physiological, and behavioral characteristics of humans can be used to predict human-machine interactions. The goal of this pilot study is to collect initial data to determine whether driving and eye tracking metrics can provide evidence of learning for a CPS project. Six participants performed a series of 12 repeated obstacle avoidance tasks in manual driving. Lane deviations and fixation-related eye d

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Rivadeneira, Jorge Eduardo, Guilherme Antonio Borges, André Rodrigues, Fernando Boavida, and Jorge Sá Silva. "A unified privacy preserving model with AI at the edge for Human-in-the-Loop Cyber-Physical Systems." Internet of Things 25 (April 2024): 101034. http://dx.doi.org/10.1016/j.iot.2023.101034.

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Ma, Meng, Weilan Lin, Disheng Pan, et al. "Data and Decision Intelligence for Human-in-the-Loop Cyber-Physical Systems: Reference Model, Recent Progresses and Challenges." Journal of Signal Processing Systems 90, no. 8-9 (2017): 1167–78. http://dx.doi.org/10.1007/s11265-017-1304-0.

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Makri, Chara, Didem Gürdür Broo, and Andy Neely. "Human-in-Loop Decision-Making and Autonomy: Lessons Learnt from the Aviation Industry Transferred to Cyber-Physical Systems." Technologies 10, no. 6 (2022): 120. http://dx.doi.org/10.3390/technologies10060120.

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In this study, we reviewed aircraft accidents in order to understand how autonomy and safety has been managed in the aviation industry, with the aim of transferring our findings to autonomous cyber-physical systems (CPSs) in general. Through the qualitative analysis of 26 reports of aircraft accidents that took place from 2016 to 2022, we identified the most common contributing factors and the actors involved in aircraft accidents. We found that accidents were rarely the result of a single event or actor, with the most common contributing factor being non-adherence to standard operating proced

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Pongsakornsathien, Nichakorn, Yixiang Lim, Alessandro Gardi, et al. "Sensor Networks for Aerospace Human-Machine Systems." Sensors 19, no. 16 (2019): 3465. http://dx.doi.org/10.3390/s19163465.

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Intelligent automation and trusted autonomy are being introduced in aerospace cyber-physical systems to support diverse tasks including data processing, decision-making, information sharing and mission execution. Due to the increasing level of integration/collaboration between humans and automation in these tasks, the operational performance of closed-loop human-machine systems can be enhanced when the machine monitors the operator’s cognitive states and adapts to them in order to maximise the effectiveness of the Human-Machine Interfaces and Interactions (HMI2). Technological developments hav

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Egbengwu, Vivian, Wolfgang Garn, and Chris J. Turner. "Metaverse for Manufacturing: Leveraging Extended Reality Technology for Human-Centric Production Systems." Sustainability 17, no. 1 (2025): 280. https://doi.org/10.3390/su17010280.

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As we progress towards Industry 5.0, technological advancements are converging; this movement is realised by the increasing collaboration between humans and intelligent digital platforms and further enabled by the interactive visualisation modes provided by Metaverse technology. This research examines the practical applications and limitations of Metaverse technology providing insights into the transformative possibilities it offers for the manufacturing sector. Specifically, the research was guided by the core objective to trace the evolution of Metaverse technology within manufacturing. This

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Dobaj, Jürgen, Andreas Riel, Georg Macher, and Markus Egretzberger. "Towards DevOps for Cyber-Physical Systems (CPSs): Resilient Self-Adaptive Software for Sustainable Human-Centric Smart CPS Facilitated by Digital Twins." Machines 11, no. 10 (2023): 973. http://dx.doi.org/10.3390/machines11100973.

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The Industrial Revolution drives the digitization of society and industry, entailing Cyber-Physical Systems (CPSs) that form ecosystems where system owners and third parties share responsibilities within and across industry domains. Such ecosystems demand smart CPSs that continuously align their architecture and governance to the concerns of various stakeholders, including developers, operators, and users. In order to satisfy short- and long-term stakeholder concerns in a continuously evolving operational context, this work proposes self-adaptive software models that promote DevOps for smart C

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Hideyuki, Shintani, and Koshijima Ichiro. "The Framework of System Safety for Multi Human-in-The-Loop System." July 5, 2016. https://doi.org/10.5281/zenodo.1126257.

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In Cyber Physical System (CPS), if there are a large number of persons in the process, a role of person in CPS might be different comparing with the one-man system. It is also necessary to consider how Human-in-The-Loop Cyber Physical Systems (HiTLCPS) ensure safety of each person in the loop process. In this paper, the authors discuss a system safety framework with an illustrative example with STAMP model to clarify what point for safety should be considered and what role of person in the should have.

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Hideyuki, Shintani, and Koshijima Ichiro. "The Framework of System Safety for Multi Human-in-The-Loop System." International Journal of Business, Human and Social Sciences 9.0, no. 8 (2016). https://doi.org/10.5281/zenodo.1339448.

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In Cyber Physical System (CPS), if there are a large number of persons in the process, a role of person in CPS might be different comparing with the one-man system. It is also necessary to consider how Human-in-The-Loop Cyber Physical Systems (HiTLCPS) ensure safety of each person in the loop process. In this paper, the authors discuss a system safety framework with an illustrative example with STAMP model to clarify what point for safety should be considered and what role of person in the should have.

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Sreeram, Maitreya, and Shimon Y. Nof. "Human-in-the-loop: Role in Cyber Physical Agricultural Systems." INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL 16, no. 2 (2021). http://dx.doi.org/10.15837/ijccc.2021.2.4166.

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With increasing automation, the ‘human’ element in industrial systems is gradually being reduced, often for the sake of standardization. Complete automation, however, might not be optimal in complex, uncertain environments due to the dynamic and unstructured nature of interactions. Leveraging human perception and cognition can prove fruitful in making automated systems robust and sustainable. “Human-in-the-loop” (HITL) systems are systems which incorporate meaningful human interactions into the workflow. Agricultural Robotic Systems (ARS), developed for the timely detection and prevention of d

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Piperigkos, Nikos, Alexandros Gkillas, Gerasimos Arvanitis, et al. "Distributed intelligence in industrial and automotive cyber–physical systems: a review." Frontiers in Robotics and AI 11 (October 28, 2024). http://dx.doi.org/10.3389/frobt.2024.1430740.

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Cyber–physical systems (CPSs) are evolving from individual systems to collectives of systems that collaborate to achieve highly complex goals, realizing a cyber–physical system of systems (CPSoSs) approach. They are heterogeneous systems comprising various autonomous CPSs, each with unique performance capabilities, priorities, and pursued goals. In practice, there are significant challenges in the applicability and usability of CPSoSs that need to be addressed. The decentralization of CPSoSs assigns tasks to individual CPSs within the system of systems. All CPSs should harmonically pursue syst

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Cleland-Huang, Jane, Theodore Chambers, Sebastian Zudaire, Muhammed Tawfiq Chowdhury, Ankit Agrawal, and Michael Vierhauser. "Human-Machine Teaming with small Unmanned Aerial Systems in a MAPE-K Environment." ACM Transactions on Autonomous and Adaptive Systems, September 4, 2023. http://dx.doi.org/10.1145/3618001.

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The Human Machine Teaming (HMT) paradigm focuses on supporting partnerships between humans and autonomous machines. HMT describes requirements for transparency, augmented cognition, and coordination that enable far richer partnerships than those found in typical human-on-the-loop and human-in-the-loop systems. Autonomous, self-adaptive systems in domains such as autonomous driving, robotics, and Cyber-Physical Systems, are often implemented using the MAPE-K feedback loop as the primary reference model. However, while MAPE-K enables fully autonomous behavior, it does not explicitly address the

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franceschi, paolo, stefano mutti, kiara ottogalli, daniel rosquete, diego borro, and nicola pedrocchi. "A framework for cyber-physical production system management and digital twin feedback monitoring for fast failure recovery." International Journal of Computer Integrated Manufacturing, November 1, 2021. https://doi.org/10.1080/0951192X.2021.1992666.

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With the ongoing Industry 4.0 (I4.0) revolution, plant management and supervision play a key role in the development and (re-)design of industrial plants. In the arising scenarios, the need to coordinate human workers and autonomous systems, sharing the same environment, teaming together, becomes a fundamental requirement. Indeed, even though automation in standard assembly lines has reached high efficiency and reliability, for complex and new applications, a certain amount of failure must be considered for future addressing. This paper presents a framework for the flexible coordination of suc

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Ghansah, Frank Ato, and Weisheng Lu. "Cyber-physical systems and digital twins for “cognitive building” in the construction industry." Construction Innovation, August 1, 2023. http://dx.doi.org/10.1108/ci-07-2022-0164.

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Purpose Despite the growing attention on the relevance of improved building management systems with cognition in recent years in the architecture, engineering, construction and operation (AECO) community, no review has been conducted to understand the human-environment interaction features of cyber-physical systems (CPS) and digital twins (DTs) in developing the concept of a cognitive building (CB). Thus, this paper aims to review existing studies on CPS and DTs for CB to propose a comprehensive system architecture that considers human-environment interactions. Design/methodology/approach Scie

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Kunic, Anja, Ardeshir Talaei, and Roberto Naboni. "Cyber–physical infrastructure for material and construction data tracking in reconfigurable timber light-frame structures." Construction Robotics 9, no. 1 (2025). https://doi.org/10.1007/s41693-025-00153-1.

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Abstract The accessibility of construction data is essential for advancing automation and promoting circularity in the built environment. This paper presents a cyber–physical infrastructure that enhances the assembly and reuse of reconfigurable timber light-frame structures through real-time material tracking and seamless data exchange. The system integrates open-access, cloud-hosted databases with Internet of Things (IoT) technology to ensure seamless interoperability between design, material management, and assembly processes. Two assembly approaches are explored: (1) a Human–Robot Collabora

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Cao, Yajuan, and Chenchen Tao. "Reinforcement learning and game theory based cyber-physical security framework for the humans interacting over societal control systems." Frontiers in Energy Research 12 (August 8, 2024). http://dx.doi.org/10.3389/fenrg.2024.1413576.

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A lot of infrastructure upgrade and algorithms have been developed for the information technology driven smart grids over the past twenty years, especially with increasing interest in their system design and real-world implementation. Meanwhile, the study of detecting and preventing intruders in ubiquitous smart grids environment is spurred significantly by the possibility of access points on various communication equipment. As a result, there are no comprehensive security protocols in place preventing from a malicious attacker’s accessing to smart grids components, which would enable the inte

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Meng, Hao, Jiacheng Xie, Xuewen Wang, and Shuguang Liu. "The MMI-HCPS method: Integrating perception-decision-control capabilities of multiple mine inspectors." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, February 27, 2024. http://dx.doi.org/10.1177/09544062241234551.

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Due to the complex mining environment, the development of equipment intelligence has stagnated, with challenges in the application of key technologies. Additionally, underground inspectors exhibit a lower level of intelligence in monitoring, decision-making, and control aspects. This paper proposes an MMI-HCPS (Multiple Mine Inspectors- Human-Cyber-Physical System) method that integrates the perception, decision, and control capabilities of multiple mine inspectors. Firstly, it reviews the current status of equipment intelligentization in fully mechanized mining faces to highlight the necessit

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