Article
Chemistry, Analytical
Ines Soares, Marcelo Petry, Antonio Paulo Moreira
Summary: The paper introduces an industrial prototype of human-machine interaction system developed using augmented reality technology, aiming to allow industrial operators to program robots easily. The system consists of a tracking system and a translator system, which record user hand movements and translate them into machine execution commands.
Article
Computer Science, Artificial Intelligence
Zaid Abbas Al-Sabbag, Chul Min Yeum, Sriram Narasimhan
Summary: A new visual inspection method using Extended Reality (XR) devices for interactive detection and quantification of structural defects has been proposed, with the development of an XRIV inspection pipeline. Real-time interactive segmentation-detection and pixel-wise damage boundary refinement algorithms were used to achieve 3D world coordinate quantification of damage areas, with detection errors below 10% and an image processing latency of 2-3 seconds.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Construction & Building Technology
H-L Chi, M-K Kim, K-Z Liu, J. P. P. Thedja, J. Seo, D-E Lee
Summary: Ensuring conformity of rebars in terms of number, spacing, and location is crucial for quality control in rebar operations. Existing sensing technologies lack effective visualization of data. This paper proposes a method that combines augmented reality and laser scanning to provide intuitive and accurate rebar inspection.
AUTOMATION IN CONSTRUCTION
(2022)
Review
Chemistry, Multidisciplinary
Chongyu Zhu, Yao Lu, Lixin Jiang, Yanlei Yu
Summary: Liquid crystals (LCs) are soft and intelligent materials that can adjust their properties in response to external stimuli, making them ideal for constructing soft actuators and robots. By combining LC actuators and robots with virtual reality and augmented reality technologies, a new world of mixed reality (MR) with multi-sensory interaction can be created. The development of LC actuators and robots is expected to accelerate the practical application of MR technology.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Engineering, Industrial
Yong-Ku Kong, Sang -Soo Park, Jin-Woo Shim, Kyeong-Hee Choi, Hyun-Ho Shim, Kiana Kia, Jeong Ho Kim
Summary: The aim of this study was to evaluate the effectiveness of a passive upper-limb exoskeleton in reducing musculoskeletal load and discomfort in the shoulders during augmented reality (AR) interactions. The results showed that the exoskeleton significantly reduced muscle activity and self-reported discomfort without affecting shoulder postures and task performance. Therefore, a passive exoskeleton can be an effective ergonomic control measure to reduce the risks of developing musculoskeletal discomfort or injuries in the shoulder regions during AR interactions.
APPLIED ERGONOMICS
(2023)
Article
Chemistry, Multidisciplinary
Kristyna Havlikova, Petr Horejsi, Pavel Kopecek
Summary: This study proposes an AR-based approach for quality inspection and provides experimental validation on the positive effects of this approach in improving user efficiency and reducing mental workload.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Interdisciplinary Applications
Arne Seeliger, Long Cheng, Torbjorn Netland
Summary: Augmented reality (AR) technologies can increase workforce flexibility and productivity by providing real-time information where it's needed. This study develops an AR-based system for quality inspection using head-mounted displays (HMDs). The experiment shows that the AR HMD system improves task performance, reduces mental workload, and receives positive user experience ratings. This research fills the gap in the literature on AR-assisted quality control and provides empirical evidence of its benefits.
COMPUTERS IN INDUSTRY
(2023)
Article
Engineering, Multidisciplinary
David D. L. Mascarenas, JoAnn P. Ballor, Oscar L. McClain, Miranda A. Mellor, Chih-Yu Shen, Brian Bleck, John Morales, Li-Ming R. Yeong, Benjamin Narushof, Philo Shelton, Eric Martinez, Yongchao Yang, Alessandro Cattaneo, Troy A. Harden, Fernando Moreu
Summary: This article introduces the use of emerging augmented reality technology to enhance structural infrastructure inspection and awareness, enabling data to be collected at higher resolutions for comprehensive and high-resolution 3D measurements. Augmented reality can be applied to high-risk infrastructure and improve structural awareness.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Article
Computer Science, Artificial Intelligence
Alberto Topini, William Sansom, Nicola Secciani, Lorenzo Bartalucci, Alessandro Ridolfi, Benedetto Allotta
Summary: Robot-based rehabilitation has been proven to be a viable and efficient practice to accelerate and enhance the recovery of lost functions. Collaborating with a user-friendly robotic environment encourages patients to undergo therapy and increases their involvement in the process. Hand exoskeletons, when paired with virtual reality, can boost therapy outcomes and increase patient participation. Virtual environments simulate real-life tasks and provide challenging exercises with a reward-based system, while also allowing for easy customization to meet the patient's needs.
FRONTIERS IN NEUROROBOTICS
(2022)
Article
Construction & Building Technology
Srijeet Halder, Kereshmeh Afsari, John Serdakowski, Stephen DeVito, Mahnaz Ensafi, Walid Thabet
Summary: This study proposes a new approach of using a quadruped robot and an Augmented Reality (AR) solution for real-time remote monitoring of construction progress. By applying real-time and remote video monitoring and an AR platform, it can provide more frequent and accessible construction progress data and help inspectors verify the consistency between the as-built status and the planned BIM data.
Article
Engineering, Multidisciplinary
D. Maharjan, M. Aguero, D. Mascarenas, R. Fierro, F. Moreu
Summary: The accurate inspection of infrastructure is crucial for cost allocation. New tools can assist in optimizing investments in maintenance and repairs. Artificial intelligence is providing more objective data for monitoring work.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Review
Chemistry, Analytical
Bruno Cunha, Ricardo Ferreira, Andreia S. P. Sousa
Summary: Advancements in modern medicine have led to increased usage of home-based rehabilitation services, particularly for patients recovering from diseases or conditions that require structured rehabilitation. Understanding the impact of technology on home-based rehabilitation is crucial for maximizing patient outcomes. This review summarizes the latest technological trends and advancements in home-based shoulder rehabilitation, focusing on wearable devices, robots, exoskeletons, machine learning, virtual and augmented reality, and serious games. Through an analysis of existing literature, the review presents the current state of the art in home-based rehabilitation systems, highlighting their strengths and limitations. Future directions and potential upgrades are also proposed. By integrating these technologies into home-based rehabilitation, this review aims to improve patient outcomes and optimize the effectiveness of home-based rehabilitation programs.
Article
Engineering, Multidisciplinary
Shaohan Wang, Sakib Ashraf Zargar, Fuh-Gwo Yuan
Summary: The proposed knowledge-based deep learning algorithm achieves automated damage detection through two stages, significantly improving detection probability in structures with complex geometric features. A pilot study using smart glasses for real-time automated detection of corrosion/fatigue and defects in multi-joint bolted regions demonstrates the efficacy of the approach.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Article
Engineering, Civil
Jiaqi Xu, Elijah Wyckoff, John-Wesley Hanson, Derek Doyle, Fernando Moreu
Summary: This study proposes a Time Machine Measure (TMM) application based on Augmented Reality (AR) technology, which can assist architects in intuitively measuring structural deformations and environmental movements.
SMART STRUCTURES AND SYSTEMS
(2022)
Article
Food Science & Technology
Viktor Almqvist, Charlotte Berg, Jan Hultgren
Summary: The study evaluated the use of live-streamed video for veterinary meat inspections, which could lower the cost of inspections. Comparison between remote and on-site inspections at a large-scale pig slaughter plant in Sweden showed high agreement for clear findings but slightly lower agreement for vague findings and subjective decisions. Remote inspection could be a viable alternative for post-mortem meat inspection in pigs with standardized methods and sufficient inspection times, depending on the users.
Article
Engineering, Manufacturing
J. Heilala, J. Montonen, O. Vaatainen
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2008)
Article
Engineering, Multidisciplinary
Timo Malm, Timo Salmi, Ilari Marstio, Jari Montonen
Proceedings Paper
Computer Science, Information Systems
Juhani Heilala, Reino Ruusu, Jari Montonen, Saija Vatanen, Carlos Kavka, Fabio Asnicar, Sebastian Scholze, Alberto Armijo, Mario Insunza
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: INNOVATIVE AND KNOWLEDGE-BASED PRODUCTION MANAGEMENT IN A GLOBAL-LOCAL WORLD, APMS 2014, PT II
(2014)
Article
Engineering, Industrial
J. Heilala, K. Helin, J. Montonen
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2006)
Article
Automation & Control Systems
Juhani Heilala, Jari Montonen, Kaj Helin
ASSEMBLY AUTOMATION
(2007)
Article
Computer Science, Interdisciplinary Applications
Shenglin Wang, Jingqiong Zhang, Peng Wang, James Law, Radu Calinescu, Lyudmila Mihaylova
Summary: In Industry 5.0, Digital Twins provide flexibility and efficiency for smart manufacturing. Deep learning techniques are used to enhance the Digital Twin framework, enabling the detection and classification of human operators and robots during the manufacturing process. The framework shows promising results in accurately detecting and classifying actions of human operators and robots in various scenarios.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Yi Liu, Junpeng Qiu, Jincheng Wang, Junhe Lian, Zeran Hou, Junying Min
Summary: In this study, a double-sided robotic roller forming process was developed to form ultrahigh strength steels to thin-walled profiles. Synchronized laser heating and iterative path compensation method were used to reduce forming forces and achieve high-precision forming.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Zequn Zhang, Yuchen Ji, Dunbing Tang, Jie Chen, Changchun Liu
Summary: This paper proposes a digital twin system for human-robot collaboration (HRC) that overcomes the limitations of current methods and improves the overall performance. The system includes a human mesh recovery algorithm and uncertainty estimation to enhance the system's capabilities. Experimental results demonstrate the superiority of the proposed methods over baseline methods. The feasibility and effectiveness of the HRC system are validated through a case study involving component assembly.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Junmin Park, Taehoon Kim, Chengyan Gu, Yun Kang, Joono Cheong
Summary: This paper proposes a highly reliable and accurate collision estimator for robot manipulators in human-robot collaborative environments using the Bayesian approach. By assuming robot collisions as dynamic Markov processes, the estimator can integrate prior beliefs and measurements to produce current beliefs in a recursive form. The method achieves compelling performance in collision estimation with high accuracy and no false alarms.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Meng Wang, Kaixuan Chen, Panfeng Wang, Yimin Song, Tao Sun
Summary: In this study, a novel teleoperation machining mode and control strategy were proposed to improve efficiency and accuracy in small batch production of large casting parts. By using variable motion mapping and elastic compensation, constant cutting force was achieved, and the workpiece was protected by employing forbidden virtual fixtures and movement constraints on the slave robot.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhaoyu Li, Dong He, Xiangyu Li, Xiaoke Deng, Pengcheng Hu, Jiancheng Hao, Yue Hou, Hongyu Yu, Kai Tang
Summary: This paper presents a novel algorithm for planning a five-axis inspection path for arbitrary freeform surfaces. By converting the inspection path planning problem into a set-covering problem, the algorithm generates a near-minimum set of inspection paths that satisfy necessary constraints. Both computer simulation and physical inspection experiments confirm the effectiveness and advantages of the proposed method.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hang Zhang, Wenhu Wang, Shusheng Zhang, Yajun Zhang, Jingtao Zhou, Zhen Wang, Bo Huang, Rui Huang
Summary: This paper introduces a novel framework based on deep reinforcement learning for generating machining process routes for designated parts. The framework utilizes graph representations of parts and employs convolutional graph neural networks for effective processing. Experimental results demonstrate the ability of the proposed method to generate efficient machining process routes and overcome limitations of traditional methods.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Regina Kyung-Jin Lee, Hao Zheng, Yuqian Lu
Summary: Future manufacturing will witness a shift towards collaboration and compassion in human-robot relationships. To enable seamless knowledge transfer, a unified knowledge representation system that can be shared by humans and robots is essential. The Human-Robot Shared Assembly Taxonomy (HR-SAT) proposed in this study allows comprehensive assembly tasks to be represented as a knowledge graph that is understandable by both humans and robots. HR-SAT incorporates rich assembly information and has diverse applications in process planning, quality checking, and human-robot collaboration.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Jianhui He, Lefeng Gu, Guilin Yang, Yiyang Feng, Silu Chen, Zaojun Fang
Summary: This paper presents a new modular kinematic error model for collaborative robots and proposes a portable self-calibration device to improve their positioning accuracy.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hongwei Sun, Jixiang Yang, Han Ding
Summary: This paper proposes an asymmetrical FIR filter-based tool path smoothing algorithm to fully utilize the joint drive capability of robot manipulators. The algorithm considers the pose-dependent dynamics and constraints of the robot and improves motion efficiency by over 10% compared to traditional methods.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Dongsheng Ge, Huan Zhao, Yiwei Wang, Dianxi Li, Xiangfei Li, Han Ding
Summary: This paper focuses on learning a stable force control policy from human demonstration during contact transients. Based on the analysis of human demonstration data, a novel human-inspired force control strategy called compliant dynamical system (CDS) is proposed. The effectiveness of the proposed method is validated through simulation and real-world experiments.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Xuepeng Huang, Zhenzhong Wang, Lucheng Li, Qi Luo
Summary: This study models the stiffness of a robot and modifies the tool influence function (TIF) with the Preston equation in order to achieve uniform surface quality in robotic bonnet polishing (RBP) of optical components. Experimental results validate the accuracy of the modified model.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Mario D. Fiore, Felix Allmendinger, Ciro Natale
Summary: This paper presents a constraint-based programming framework for task specification and motion optimization. The framework can handle constraints on robot joint and Cartesian coordinates, as well as time dependency. It also compares with existing methods and provides numerical support through illustrative examples and case studies.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Yongxue Chen, Yaoan Lu, Ye Ding
Summary: This paper presents an optimization method for directly generating a six-degree-of-freedom toolpath for robotic flank milling. By optimizing the smoothness of the toolpath and the stiffness of the robot, the efficiency, accuracy, and finish of the machining are improved.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Chungang Zhuang, Haoyu Wang, Han Ding
Summary: This article proposes an end-to-end pipeline for synchronously regressing potential object poses from an unsegmented point cloud. It extracts point pair features and uses a voting architecture for instance feature extraction, along with a 3D heatmap for clustering votes and generating center seeds. An attention voting module is also employed to adaptively fuse point-wise features into instance-wise features. The network demonstrates robustness and improved performance in pose estimation.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)