Article
Computer Science, Cybernetics
Claudia Carissoli, Luca Negri, Marta Bassi, Fabio Alexander Storm, Antonella Delle Fave
Summary: This review focuses on the mental workload experienced by operators interacting with cobots in HRC and explores its major sources and potential solutions. The study found that cobot motion, predictability, task organization, and communication patterns are the main factors contributing to operators' mental workload. Modulating motion rhythm, promoting flexible physical interaction, and improving communication patterns can help mitigate workers' mental workload.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Review
Computer Science, Information Systems
Diego Rodriguez-Guerra, Gorka Sorrosal, Itziar Cabanes, Carlos Calleja
Summary: The demand for collaborative robots in industrial environments is increasing, leading to the emergence of more collaborative solutions for industrial scenarios. However, implementing autonomous operations of robots while synchronizing with shopfloor workers in a safe environment presents challenges. This manuscript presents a review of five identified challenges in developing applications for industrial collaborative scenarios, proposing a four-level classification and discussing the potential growth in the field.
Article
Automation & Control Systems
Silvia Proia, Raffaele Carli, Graziana Cavone, Mariagrazia Dotoli
Summary: The fourth industrial revolution, also known as Industry 4.0, is reshaping the way individuals live and work, with a substantial impact on the manufacturing sector. Collaborative robotics is the key enabling technology behind Industry 4.0 and is evolving as a fundamental pillar of Industry 5.0. The main goals of human-robot collaboration in the industrial setting are to improve employee safety and well-being, while increasing profitability and productivity.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Piercosma Bisconti
Summary: This paper theoretically addresses the significance of unintentional and inconsistent interactional elements in human-robot interactions, highlighting the potential consequences on human-robot relational patterns and human-human relations. It argues that the absence of precise interactional elements can reshape interactional patterns and lead to the generation of new types of interactional settings.
MINDS AND MACHINES
(2021)
Article
Automation & Control Systems
Shane Saunderson, Goldie Nejat
Summary: This article examines the influence of robot persuasion on human decision making in the context of human-robot interaction. The study reveals that emotional persuasive strategies have a stronger impact compared to logical and control strategies. Furthermore, participant occupation/field of study was found to significantly affect the extent to which individuals were influenced by the robots.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Giovanni Boschetti, Maurizio Faccio, Irene Granata, Riccardo Minto
Summary: Collaborative robots are a new technology that can improve system performance by combining the productivity of automatic machines with the flexibility of manual systems. The shared workspace of collaborative robots can be both advantageous and limiting. A 3D collision avoidance strategy is introduced to enhance system efficiency and minimize emergency stops.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Robotics
Changzeng Fu, Chaoran Liu, Carlos Toshinori Ishi, Yuichiro Yoshikawa, Takamasa Iio, Hiroshi Ishiguro
Summary: This study uses an android robot as an intermediary to increase intra-group connectedness through daily conversations, enhancing familiarity and closeness among group members. Experimental results show that this method effectively enhances social connectedness, as well as improving the closeness of the user-robot relation and the performance of robots in conducting conversations with people.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Automation & Control Systems
Abhinav Dahiya, Alexander M. Aroyo, Kerstin Dautenhahn, Stephen L. Smith
Summary: This article provides a literature survey on Human-Robot Interaction (HRI) systems with multiple agents, including humans and/or robots. The study identifies three core aspects of Multi-agent HRI systems: Team structure, Interaction style among agents, and the system's Computational characteristics. The article also presents five attributes of HRI systems, and discusses the challenges and future research areas in the domain.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2023)
Review
Construction & Building Technology
Adetayo Olugbenga Onososen, Innocent Musonda, Molusiwa Ramabodu
Summary: While previous studies have explored various themes in construction robotics and human-robot teams research, there has been a lack of in-depth investigation into methodological paradigms suitable for construction robotics research. This study aims to fill this gap by conducting a four-stage review using a scientometric and systematic analysis method with 112 articles. By employing statistical analysis, the study reveals strong associations between research methods, data sources, and analytical techniques. The findings also indicate a trend towards mixed paradigms in data sources and designs, indicating methodological plurality in construction robotics research. The implications for the future of construction robotics, policy, and stakeholders are also discussed.
Article
Engineering, Industrial
J. Norberto Pires, Carlos Ye Zhu
Summary: This paper introduces a set of procedures, tools, and applications for exploring robotics fundamentals, generating kinematic and dynamic models, creating robot representations, generating trajectories, and simulating and visualizing robot motion. The authors aim to help readers understand how to use these tools for other machines and their own designs through practical examples. The presented procedure demonstrates the feasibility and accessibility of starting from a CAD design to simulate robot motion, and can be applied to other machines and robotic designs.
INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION
(2021)
Article
Robotics
Linda Onnasch, Eileen Roesler
Summary: Robotic systems are a core technology shaping our future, changing private and professional life by working alongside humans in various domains. To address the issue of comparability and generalizability caused by the diversity in robots and interaction scenarios, researchers have developed a new HRI taxonomy that enables structured comparisons and guides future research activities.
INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS
(2021)
Article
Robotics
Stephanie Gross, Brigitte Krenn
Summary: In this paper, we propose three types of human-robot interaction in collaborative industrial human-cobot scenarios with different communicative modes. We discuss various scenarios and map them with communicative modes, including proxemics, kinesics, chronemics, haptics, speech, light signals, and GUIs. We also focus on aspects like robot transparency, coordination of activity, human turn-taking, and human tutoring. Our work is supplemented with existing studies and identifies challenges in human-cobot interaction, aiming to provide guidance for a more smooth and natural collaboration among human and robotic coworkers.
INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS
(2023)
Article
Chemistry, Analytical
Leticia Gonzalez, Juan C. Alvarez, Antonio M. Lopez, Diego Alvarez
Summary: This study introduces a new methodology for the metrological evaluation of a human-robot collaborative environment based on optical motion capture systems. Detailed statistical analysis of error distribution and median comparisons led to the identification of optimal capture areas for the system's use. The results obtained from this method are shown to be comparable in quality to other methods without the need for industrial robot intervention.
Article
Construction & Building Technology
Patrick B. Rodrigues, Rashmi Singh, Mert Oytun, Pooya Adami, Peter J. Woods, Burcin Becerik-Gerber, Lucio Soibelman, Yasemin Copur-Gencturk, Gale M. Lucas
Summary: Despite the growing interest in construction robotics, there has been insufficient attention paid to Human-Robot Interaction (HRI). This paper proposes a multidimensional taxonomy to characterize HRI applications in the construction industry, based on existing taxonomies and empirical studies in various industries. The proposed taxonomy can be used for systematic reviews and meta-analyses of HRI applications in construction, benefiting the design of collaborative tasks performed by human-robot teams.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Robotics
Andrew Specian, Ross Mead, Simon Kim, Maja Mataric, Mark Yim
Summary: This article introduces Quori, a novel and affordable socially interactive humanoid robot platform designed based on feedback from the HRI research community, maintaining a balance between affordability and functionality. Ten Quori platforms have been distributed to researchers across the United States to facilitate HRI research and build a community database from a common platform.
IEEE TRANSACTIONS ON ROBOTICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Mirco Moencks, Elisa Roth, Thomas Bohne, David Romero, Johan Stahre
Summary: The Fourth Industrial Revolution is changing the roles of humans, technology, and work in production systems. The use of Human-Technology Integration (HTI), Operator Assistance Systems (OAS), and Augmentation Technologies can empower the workforce and increase overall business productivity. However, guiding practitioners in HTI activities remains challenging in the industry.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Criminology & Penology
Soraia Oliveira, Ana Pinto, Carla Carvalho, Rui Coelho de Moura, Paulo Santos-Costa, Sonia Gondim
Summary: Grounded in the Emotional Labour Theory, this study examines the relationship between emotional demands and work engagement among Portuguese police officers and suggests ways to prevent or mitigate its impact. The research highlights a gap in the study of emotions and emotional regulation within the Portuguese police context. Results from the survey of 924 Portuguese police officers indicate a relationship between emotional demands in different interpersonal interactions and work engagement.
POLICE PRACTICE AND RESEARCH
(2023)
Article
Management
Soraia Oliveira, Carla Carvalho, Ana Pinto, Rui Coelho de Moura, Paulo Santos-Costa
Summary: Based on emotional labor theory, this study examines the relationships between emotional labor dimensions (requirements and strategies), work engagement, and occupational identity in Portuguese police officers. The findings show that emotional labor has an impact on work engagement and occupational identity, and suggest strategies for preventing and mitigating these effects. The study identifies a gap in the existing research in Portugal, particularly in the context of police professionals. A sample of 924 Portuguese police officers from the Public Security Police (PSP) completed a set of questionnaires, and the data was analyzed using correlation and multiple linear regression. The results indicate that emotional demands and strategies of emotional labor are related to work engagement and occupational identity. The authors discuss the implications of these findings and propose directions for future research.
INTERNATIONAL JOURNAL OF HUMAN RESOURCE MANAGEMENT
(2023)
Article
Psychology, Multidisciplinary
Ana Pinto, Sonia Sousa, Ana Simoes, Joana Santos
Summary: This study aims to explore how to measure the effects of perceived trust in collaborative robots and successfully translate, adapt, and validate a trust scale for human-robot interaction. The results indicate that the scale has good validity and reliability in measuring trust. There are differences in trust perception by gender.
HUMAN BEHAVIOR AND EMERGING TECHNOLOGIES
(2022)
Article
Green & Sustainable Science & Technology
Chiara Cimini, David Romero, Roberto Pinto, Sergio Cavalieri
Summary: This paper analyzes the evolution of Workforce 4.0 job profiles from a job-task perspective concerning the adoption of smart and digital technologies in manufacturing companies. It presents a task classification framework and a job-task analysis method, which were evaluated and refined using an action-research approach. The proposed framework and method contribute to analyzing operators' tasks and identifying the requirements of new skills for emerging job profiles.
Article
Business
Federica Menti, David Romero, Peter Jacobsen
Summary: The Logistics 4.0 research stream focuses on using new digital technologies to improve productivity and flexibility in logistics processes and operations. However, the impact on human logistics operators and the interaction between technical systems and socio-cultural factors have been overlooked. This paper proposes a Technology Assessment and Implementation Model that considers socio-cultural factors to guide the introduction of Logistics 4.0 technologies in order to ensure smooth acceptance by operators.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Review
Engineering, Industrial
Bartlomiej Gladysz, Tuan-anh Tran, David Romero, Tim van Erp, Janos Abonyi, Tamas Ruppert
Summary: The combination of technology-driven Industry 4.0 (I4.0) paradigm with human-centrism, sustainability, and resilience orientation forms the Industry 5.0 (I5.0) paradigm, enabling the Operator 4.0 (O4.0) approach. However, the readiness of I4.0 solutions for I5.0 challenges has not been well discussed in the literature, making it crucial to structure existing knowledge of O4.0 for a smooth transition to Operator 5.0 (O5.0). Through a systematic literature review and the use of various techniques, this study identifies research clusters, trending directions, and missing research orientations. The findings highlight the need for sufficient integration of human factors in I4.0 technologies and the importance of addressing drivers and restrainers for technology adoption in preparation for O5.0.
JOURNAL OF MANUFACTURING SYSTEMS
(2023)
Editorial Material
Engineering, Industrial
Baicun Wang, Tao Peng, Xi Vincent Wang, Thorsten Wuest, David Romero, Lihui Wang
JOURNAL OF MANUFACTURING SYSTEMS
(2023)
Article
Computer Science, Interdisciplinary Applications
Clarissa A. Gonzalez Chavez, Gorka Unamuno, Melanie Despeisse, Bjorn Johansson, David Romero, Johan Stahre
Summary: The machine tool industry plays a crucial role in high-quality and efficient complex manufacturing processes. The adoption of digital technologies can revolutionize production systems into more connected, adaptive, efficient, and sustainable systems. Understanding and managing the risks of digital servitization are essential for the machine tool industry to fully leverage its potential.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2023)
Article
Multidisciplinary Sciences
Artur Pilacinski, Ana Pinto, Soraia Oliveira, Eduardo Araujo, Carla Carvalho, Paula Alexandra Silva, Ricardo Matias, Paulo Menezes, Sonia Sousa
Summary: This study compared subjective and objective markers of human trust when collaborating with eyed and non-eyed robots. Virtual reality scenes were used to manipulate distance and the presence of eyes on a robot's display during simple collaboration scenes. The findings showed that collaboration with eyed robots resulted in slightly higher subjective trust ratings, but objective markers such as pupil size and task completion time indicated it was actually less comfortable to collaborate with them. These findings are in line with the suggestion that anthropomorphism may be a detrimental feature of collaborative robots, and highlight the complex relationship between human objective and subjective markers of trust with artificial agents.
Article
Engineering, Manufacturing
Gabriel E. Navas-Reascos, David Romero, Ciro A. Rodriguez, Federico Guedea, Johan Stahre, Omkar Salunkhe
Summary: The economic aspect is a fundamental competitiveness factor in the wire harness manufacturing industry. The cost-benefit analysis of transitioning from manual to collaborative assembly processes is proposed to determine its financial viability. A case study validates the proposed analysis and emphasizes the significant impact of the country analyzed on the financial feasibility.
MANUFACTURING LETTERS
(2023)
Review
Robotics
Gabriel E. Navas-Reascos, David Romero, Johan Stahre, Alberto Caballero-Ruiz
Summary: The wire harness assembly process is complex and manual, causing occupational health issues for workers. This literature review explores the use of collaborative robots in the wire harness assembly process, highlighting their potential to improve productivity and worker health. However, there is a lack of cost-benefit analysis and cycle time measurement in the reviewed papers, calling for further research.
Article
Engineering, Industrial
Xiaoliang Yan, Reed Williams, Elena Arvanitis, Shreyes Melkote
Summary: This paper extends prior work by developing a semantic segmentation approach for machinable volume decomposition using pre-trained generative process capability models, providing manufacturability feedback and labels of candidate machining operations for query 3D parts.
JOURNAL OF MANUFACTURING SYSTEMS
(2024)
Article
Engineering, Industrial
Jing Huang, Zhifen Zhang, Rui Qin, Yanlong Yu, Guangrui Wen, Wei Cheng, Xuefeng Chen
Summary: In this study, a deep learning framework that combines interpretability and feature fusion is proposed for real-time monitoring of pipeline leaks. The proposed method extracts abstract feature details of leak acoustic emission signals through multi-level dynamic receptive fields and optimizes the learning process of the network using a feature fusion module. Experimental results show that the proposed method can effectively extract distinguishing features of leak acoustic emission signals, achieving higher recognition accuracy compared to typical deep learning methods. Additionally, feature map visualization demonstrates the physical interpretability of the proposed method in abstract feature extraction.
JOURNAL OF MANUFACTURING SYSTEMS
(2024)