Article
Computer Science, Artificial Intelligence
Alessandro Alessio, Khurshid Aliev, Dario Antonelli
Summary: The advent of new technologies has accelerated the progress of Industry 4.0. Collaborative robots play a crucial role in factory reconfiguration and worker empowerment by utilizing the strengths of both humans and robots. Task assignment strategies should consider the suitability of tasks for humans or robots, aiming to improve productivity, production quality, human safety, and well-being.
JOURNAL OF INTELLIGENT MANUFACTURING
(2022)
Article
Chemistry, Multidisciplinary
Nikos Dimitropoulos, Theodoros Togias, Natalia Zacharaki, George Michalos, Sotiris Makris
Summary: This paper proposes an AI-based system that can provide automated ergonomics support for robots, enhancing the efficiency and customization of human-robot collaboration. By using vision-based machine learning and heuristic search algorithms, the system can achieve task recognition and posture adjustment for the operator.
APPLIED SCIENCES-BASEL
(2021)
Article
Robotics
Peng Chang, Rui Luo, Mehrdad Dorostian, Taskin Padr
Summary: This study focuses on human-robot collaboration in completing an assembly task, specifically the plug task. By estimating the initial socket pose statistically, updating it in real-time using a Kalman filter, and continuously tracking the plug for visual servoing, the proposed approach demonstrates fast and accurate performance as well as flexibility compared to a state-of-the-art method based on interactive probabilistic movement primitives.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Computer Science, Interdisciplinary Applications
Wansoo Kim, Luka Peternel, Marta Lorenzini, Jan Babic, Arash Ajoudani
Summary: A novel control approach considering ergonomic aspects aims to reduce human joint overloading torques through optimizing robot motion, validated by a user study to demonstrate potential in human-robot collaboration.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Computer Science, Interdisciplinary Applications
Elisa Prati, Margherita Peruzzini, Marcello Pellicciari, Roberto Raffaeli
Summary: The research focuses on including human needs in human-robot interaction design, proposing a UX-oriented structured method. This method was applied to an industrial case to define requirements for system interface design.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Engineering, Mechanical
Xingyu Yang, Zhengxue Zhou, Leihui Li, Xuping Zhang
Summary: Collaborative robots are increasingly used in dynamic and semi-structured environments for physical Human-Robot Interaction (pHRI) to ensure safety. This study proposes a generic dynamic model for the quasi-static contact phase of pHRI, considering interaction dynamics and the complete structural dynamics of the robot. A hybrid physics-informed neural network (PINN) is also proposed to identify joint dynamics without complex regressor construction. Experimental results using a UR3e collaborative robot demonstrate the effectiveness of the PINN for joint dynamics identification, improving safety and productivity in industrial environments.
MECHANISM AND MACHINE THEORY
(2023)
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
Psychology, Multidisciplinary
Lucas M. Bietti, Federico U. Bietti
Summary: This research investigated the interactive functions of questions in embodied collaborative work, identifying three types of questions: anticipation, exploration, and confirmation. The study found these question types are associated with achieving interactional goals and complementary temporalities in collaborative activities.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Computer Science, Interdisciplinary Applications
Jun Huang, Duc Truong Pham, Ruiya Li, Mo Qu, Yongjing Wang, Mairi Kerin, Shizhong Su, Chunqian Ji, Omar Mahomed, Riham Khalil, David Stockton, Wenjun Xu, Quan Liu, Zude Zhou
Summary: Disassembly is essential for the remanufacture, repair, and recycling of end-of-life products, and utilizing robots in collaboration with humans can enhance productivity and flexibility. This study introduces an experimental robotic disassembly cell with collaborative robots and a human operator, demonstrating the feasibility of automating complex disassembly tasks. The active compliance control and innovative communication method used in this cell showcase the potential for efficient and safe human-robot interaction in disassembly processes.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Construction & Building Technology
Hongrui Yu, Vineet R. Kamat, Carol C. Menassa, Wes McGee, Yijie Guo, Honglak Lee
Summary: In the typical construction workflow, the physical interactions between humans and robots have not been effectively addressed. This study proposes a human-adaptive model that replicates the protective behavior norms for robots during material handovers to enhance worker safety.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Engineering, Industrial
Min Cai, Rensheng Liang, Xinggang Luo, Chunlai Liu
Summary: With the increased use of collaborative robots, the human-robot collaborative hybrid assembly cell (HRCHAC) is becoming a new trend in customised production. This paper proposes a new integrated task allocation model to better utilise human-robot collaboration to increase productivity and improve worker well-being.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
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.
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
Computer Science, Interdisciplinary Applications
Luca Gualtieri, Erwin Rauch, Renato Vidoni
Summary: Industrial collaborative robotics is a promising technology in Industry 4.0, with human-robot collaboration in assembly being particularly interesting. However, safety is a major concern, and there is a lack of practical tools to help system designers overcome limitations. This study develops guidelines for the safe design of human-robot collaborative assembly and validates them through experiments.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Automation & Control Systems
Yi Sun, Weitian Wang, Yi Chen, Yunyi Jia
Summary: This article proposes a dual-input deep learning approach to assist humans in assembly tasks and utilizes online automated data labeling to reduce the training efforts.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Management
Mathieu Vandenberghe, Stijn De Vuyst, El-Houssaine Aghezzaf, Herwig Bruneel
Summary: Anticipating the impact of urgent emergency arrivals on operating room schedules is challenging. This study introduces a model for surgery scheduling considering stochastic surgery durations and emergency patient arrivals. Detailed analysis of emergency break-ins can lead to lower total cost, and an efficient heuristic is proposed to estimate the solution value with less computational effort.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2021)
Article
Management
Ebenezer Olatunde Adenipekun, Veronique Limere, Nico Andre Schmid
Summary: In the era of mass customisation, supplying parts to mixed-model assembly lines is a complex task. The supply must avoid excessive logistical handling activities while managing line space carefully to prevent shortages that could lead to line stoppage. By using a mixed integer programming model to assign parts and vehicle types simultaneously, total feeding costs can be minimized.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Article
Engineering, Industrial
Ryan O'Neil, Claver Diallo, Abdelhakim Khatab, El-Houssain Aghezzaf
Summary: This paper proposes a solution method for the multimission selective maintenance problem by combining column-generation and genetic algorithms. By integrating the genetic algorithm within the classical column-generation framework, high-quality solutions can be quickly obtained. The proposed method performs well in solving large-scale systems.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Automation & Control Systems
Muhammad Saeed, Thibaut Demasure, Steven Hoedt, El-Houssaine Aghezzaf, Johannes Cottyn
Summary: An execution time estimation model is proposed to accurately estimate the execution time in a robotic assembly workcell. The model utilizes trajectory generation and task specifications to estimate the task time with reasonable accuracy. Possible directions to further improve the estimation accuracy are discussed.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Industrial
Lauren Van De Ginste, Alexander De Cock, Axl Van Alboom, Stijn Huysentruyt, El-Houssaine Aghezzaf, Johannes Cottyn
Summary: This paper presents a multidimensional formal skill model that can be used to describe the needs and capacities in an assembly system, connecting resources with processes and products. It discusses the evaluation of a reconfigurable assembly system and highlights the benefits of a skill-based modeling approach.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Matthias Schamp, El-Houssaine Aghezzaf, Johannes Cottyn
Summary: This paper proposes a workflow that utilizes a 3D digital model to provide additional support to automation engineers, allowing for earlier verification of control logic and reducing real commissioning time. The approach records all occurring states and transitions, visualizes the state graph, and highlights unexpected behavior. Validation on a test case confirms the effectiveness of the proposed approach, with future research aimed at validation on real industrial cases.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2023)
Article
Engineering, Industrial
Jaakko Peltokorpi, Steven Hoedt, Thomas Colman, Kim Rutten, El-Houssaine Aghezzaf, Johannes Cottyn
Summary: Cognitive assistance systems help individuals with learning disabilities to improve their skills and increase their employment opportunities. This study focused on the impact of different forms of instruction and types of disability in a manual assembly task. The results showed that projection instructions enhanced the initial assembly cycle and challenging operators with filtered content improved their independence and task understanding. However, adaptive instructions posed barriers for operators who relied heavily on mentor support. The form of instruction should be carefully considered based on each operator's adaptation and needs. These findings have implications for the human-centric and socially sustainable production agenda of Industry 5.0 and highlight future research priorities.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Andrea Mencaroni, Dieter Claeys, Stijn De Vuyst
Summary: Selective assembly is a technique that matches components based on their measured feature values. This study proposes a hybrid strategy that combines traditional assembly rounds with selective assembly to reduce operational costs. The optimal number of traditional assembly rounds is determined using a cost function and simulation is used to estimate the matching probabilities.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Engineering, Multidisciplinary
Alp Darendeliler, Dieter Claeys, El-Houssaine Aghezzaf
Summary: This paper tackles the problem of integrated lot-sizing and maintenance decision making in the context of multiple products and stochastic demand. The authors propose a Markov decision process formulation and employ the classic Q-learning algorithm along with a decomposition-based approximate Q-value heuristic to find near-optimal solutions in an efficient manner. To speed up convergence, they introduce a hybrid Q-learning method that initializes Q-values using the output of the approximate Q-value heuristic. The numerical experiments reveal the superiority of the hybrid method and the scalability limitations of tabular methods, leading to the development of three state aggregation schemes that significantly reduce computational time while maintaining good performance.
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
(2023)
Article
Engineering, Multidisciplinary
Alp Darendeliler, Dieter Claeys, El-Houssaine Aghezzaf
Summary: This paper investigates the problem of integrated lot-sizing and maintenance decision making with multiple products and stochastic demand. It proposes a combination of Q-learning algorithm and approximate Q-value heuristic to achieve near-optimal solutions. The experiments show that the hybrid Q-learning method outperforms the classic Q-learning algorithm and approximate Q-value heuristic in terms of accuracy and convergence speed. Moreover, to tackle large-scale problems, three state aggregation schemes are developed and applied, with the third scheme achieving similar performance as the hybrid Q-learning method while significantly reducing computational time.
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
(2023)
Proceedings Paper
Computer Science, Information Systems
Lauren Van De Ginste, Alexander De Cock, Axl Van Alboom, Yogang Singh, El-Houssaine Aghezzaf, Johannes Cottyn
Summary: In the Industry 4.0 era, the demand for highly customized products in small batch sizes has increased, leading to the need for flexible assembly workstations. A skill-centered model is introduced to describe resource activities and flexibility impacts, allowing for versatile formal models to convert flexibility needs into design and operational decisions. This model offers a framework that combines abstract and executable skills, allowing for easy adaptation and application in various settings.
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, PT V
(2021)