Article
Chemistry, Analytical
Dominykas Strazdas, Jan Hintz, Aly Khalifa, Ahmed A. Abdelrahman, Thorsten Hempel, Ayoub Al-Hamadi
Summary: This paper introduces an implementation of RoSA for safe and intuitive human-machine interaction, based on speech, facial, and gesture recognition. The study evaluates the system with multiple subjects and reports similar usability scores to human remote-controlled interaction. The framework is based on the Robot Operating System, allowing modularity and extendability for multi-device and multi-user methods.
Article
Surgery
Byungsik Cheon, Chang-Kyun Kim, Dong-Soo Kwon
Summary: In this study, a method for image orientation correction in endoscopic robot control is proposed. By eliminating roll misorientation, intuitive manipulation of the master device is achieved, resulting in significantly improved task completion speed and accuracy.
INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY
(2022)
Article
Computer Science, Interdisciplinary Applications
Halit Hulako, Oguz Yakut
Summary: This study modeled a heavy-duty 5-legged robot with a manipulator arm in a Matlab environment and conducted walking simulations and position control experiments. The results showed that using the PID control method can reduce vibrations in the base and gripper end, and a suitable gait sequence for the 5-leg structure was formed.
SIMULATION MODELLING PRACTICE AND THEORY
(2021)
Article
Multidisciplinary Sciences
Rocco Galati, Giacomo Mantriota, Giulio Reina
Summary: This paper deals with the design and testing of a robot for industrial applications that features omnidirectionality using mecanum wheels. The paper addresses the drawbacks of this architecture, such as variability in wheel rolling radius, and proposes an adaptive estimation framework to tackle these effects.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Information Systems
Salvatore Livatino, Dario C. Guastella, Giovanni Muscato, Vincenzo Rinaldi, Luciano Cantelli, Carmelo D. Melita, Alessandro Caniglia, Riccardo Mazza, Gianluca Padula
Summary: This paper proposes an intuitive way to present sensor data to users by using mixed reality and visual aids in order to address the cognitive load issue faced by operators in remote-vehicle teleoperation. The method aims to increase situational awareness and speed up decision-making by providing coherent and intuitive sensor-information presentation.
Article
Engineering, Multidisciplinary
Haoyuan Yi, Zhenyu Xu, Xueting Xin, Liming Zhou, Xin Luo
Summary: This paper proposes a leg design approach based on effective mechanical advantage to develop a heavy-duty legged robot. The approach reduces the demand for joint actuation forces by optimizing the ratio between joint driving force and ground contact force. An electrically driven tri-segmented leg prototype is developed based on the optimal leg structure, with high load capacity and stride length.
JOURNAL OF BIONIC ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Abdeldjallil Naceri, Dario Mazzanti, Joao Bimbo, Yonas T. Tefera, Domenico Prattichizzo, Darwin G. Caldwell, Leonardo S. Mattos, Nikhil Deshpande
Summary: Intuitive interaction is essential for accurate and effective performance in remote robotic teleoperation. The Vicarios Virtual Reality (VR) interface aims to enhance situational awareness by utilizing immersive visualization and natural action interfaces. User studies show that Vicarios improves performance through its immersive experience and instant user viewpoint changes.
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2021)
Article
Robotics
Nadav D. Kahanowich, Avishai Sintov
Summary: The research proposed a method using wearable force-myography device to classify objects grasped by humans, improving accuracy through training classifiers and increasing certainty by real-time iterative method. The study demonstrates high accuracy of the method and its ability to enhance the performance of trained classifiers.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Automation & Control Systems
Ding Duan, Yuling Li, Hongbing Li
Summary: This paper provides an overview of admittance control as a method for physical interaction control between robots and human operators. It analyzes the influencing factors of the computational transparency index and experimentally verifies the transparency and stability of the system using a four degree-of-freedom interactive manipulator.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2023)
Article
Computer Science, Interdisciplinary Applications
Sreekanth Kana, Keng-Peng Tee, Domenico Campolo
Summary: This paper proposes a theoretical framework for planning and executing robot-surface contact tasks, allowing for interaction with a human operator to varying degrees. By modulating viscoelastic coupling and virtual and physical external forces, different operational and interactive modes can be achieved.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Chemistry, Multidisciplinary
Jae-Hyun Park, Min-Cheol Kim, Ralf Boehl, Sebastian Alexander Gommel, Eui-Sun Kim, Eunpyo Choi, Jong-Oh Park, Chang-Sei Kim
Summary: This paper introduces a compact-sized haptic device based on a CDPR mechanism for teleoperation. By constructing a portable CDPR with control implementation, the performance was validated to successfully achieve remote operation and synchronized motion between master and slave devices.
APPLIED SCIENCES-BASEL
(2021)
Article
Automation & Control Systems
Lin Yang, Decheng Kong, Minli Zheng, Hui Jiang, Xiao Cheng, Junhao Gong
Summary: This paper investigates the measurement and modeling of heavy-duty vertical lathes for error tracing, and establishes the geometric error model of the lathe using a homogeneous transformation matrix. The key errors heavily impacting the machining error of the lathe are the X-direction positioning error of the horizontal slide, the X-direction straightness error of the vertical slide, the X-direction straightness error of the workbench spindle, the X-direction installation eccentricity error of the workpiece, the rotation angle error of the horizontal slide around the Y-axis, and the rotation angle error of the workbench spindle around the Y-axis. The mapping relationship between these key error terms and the machining error of the workpiece is established to complete the error tracing.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Lerui Chen, Jianfu Cao, Kui Wu, Zerui Zhang
Summary: A novel CNN model is proposed to combine spectrum calculation and fault diagnosis functions, optimizing parameters to achieve nonlinear spectrum calculation for feature extraction and diagnosis. Experimental results demonstrate the best performance of the model on heavy-duty industrial robot systems.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Surgery
Duk Sang Kim, Un-Je Yang, Byungsik Cheon, Donghoon Baek, Dong-Soo Kwon
Summary: The study introduces an encountered-type master device for continuous spatial manipulation with surface support, improving precision and efficiency in positioning and pointing. The device performs best under a closed loop support condition.
INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY
(2021)
Article
Thermodynamics
Sencer Bolu, Emre Ozgul, Emre Epguzel, Cetin Gurel
Summary: This study examines the fuel economy improvement effects of increasing the compression ratio and maximum in-cylinder pressure limitation in heavy-duty diesel engines using a thermodynamic model. The research finds that increasing peak firing pressure limit has a greater impact on CO2 reduction potential compared to increasing compression ratio in the VECTO cycle and long haul vehicles.
Article
Construction & Building Technology
Jia Liang, Qipeng Zhang, Xingyu Gu
Summary: A lightweight PCSNet-based segmentation model is developed to address the issues of insufficient performance in feature extraction and boundary loss information. The introduction of generalized Dice loss improves prediction performance, and the visualization of class activation mapping enhances model interpretability.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Gilsu Jeong, Minhyuk Jung, Seongeun Park, Moonseo Park, Changbum Ryan Ahn
Summary: This study introduces a contextual audio-visual approach to recognize multi-equipment activities in tunnel construction sites, improving monitoring effectiveness. Tested against real-world operation data, the model achieved remarkable results, emphasizing the potential of contextual multimodal models in enhancing operational efficiency in complex construction sites.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Jin Wang, Zhigao Zeng, Pradip Kumar Sharma, Osama Alfarraj, Amr Tolba, Jianming Zhang, Lei Wang
Summary: This study presents a dual-path network for pavement crack segmentation, combining Convolutional Neural Network (CNN) and transformer. A lightweight CNN encoder is used for local feature extraction, while a novel transformer encoder integrates high-low frequency attention mechanism and efficient feedforward network for global feature extraction. Additionally, a complementary fusion module is introduced to aggregate intermediate features extracted from both encoders. Evaluation on three datasets confirms the superior performance of the proposed network.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Pierre Gilibert, Romain Mesnil, Olivier Baverel
Summary: This paper introduces a flexible method for crafting 2D assemblies adaptable to various geometric assumptions in the realm of sustainable construction. By utilizing digital fabrication technologies and optimization approaches, precise control over demountable buildings can be achieved, improving mechanical performance and sustainability.
AUTOMATION IN CONSTRUCTION
(2024)
Review
Construction & Building Technology
Jorge Loy-Benitez, Myung Kyu Song, Yo-Hyun Choi, Je-Kyum Lee, Sean Seungwon Lee
Summary: This paper discusses the advancement of tunnel boring machines (TBM) through the application of artificial intelligence. It highlights the significance of AI-based management subsystems for automatic TBM operations and presents recent contributions in this field. The paper evaluates modeling, monitoring, and control subsystems and suggests research paths for integrating existing management subsystems into TBM automation.
AUTOMATION IN CONSTRUCTION
(2024)
Review
Construction & Building Technology
Alireza Shamshiri, Kyeong Rok Ryu, June Young Park
Summary: This paper reviews the application of text mining and natural language processing in the construction field, highlighting the need for automation and minimizing manual tasks. The study identifies potential research opportunities in strengthening overlooked construction aspects, coupling diverse data formats, and leveraging pre-trained language models and reinforcement learning.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Zhengyi Chen, Hao Wang, Keyu Chen, Changhao Song, Xiao Zhang, Boyu Wang, Jack C. P. Cheng
Summary: This study proposes an improved coverage path planning system that leverages building information modeling and robotic configurations to optimize coverage performance in indoor environments. Experimental validation shows the effectiveness and applicability of the system. Future research will focus on further enhancing coverage ratio and optimizing computation time.
AUTOMATION IN CONSTRUCTION
(2024)
Review
Construction & Building Technology
Yonglin Fu, Junjie Chen, Weisheng Lu
Summary: This study presents a review of human-robot collaboration (HRC) in modular construction manufacturing (MCM), focusing on tasks, human roles, and interaction levels. The review found that HRC solutions are applicable to various MCM tasks, with a primary focus on timber component production. It also revealed the diverse collaborative roles humans can play and the varying levels of interaction with robots.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Qiong Liu, Shengbo Cheng, Chang Sun, Kailun Chen, Wengui Li, Vivian W. Y. Tam
Summary: This paper presents an approach to enhance the path-following capability of concrete printing by integrating steel cables into the printed mortar strips, and validates the feasibility and effectiveness of this approach through experiments.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Honghu Chu, Lu Deng, Huaqing Yuan, Lizhi Long, Jingjing Guo
Summary: The study proposes a method called Cascade CATransUNet for high-resolution crack image segmentation. This method combines the coordinate attention mechanism and self-cascaded design to accurately segment cracks. Through a customized feature extraction architecture and an optimized boundary loss function, the proposed method achieves impressive segmentation performance on HR images and demonstrates its practicality in UAV crack detection tasks.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Daniel Lamas, Andres Justo, Mario Soilan, Belen Riveiro
Summary: This paper introduces a new method for creating synthetic point clouds of truss bridges and demonstrates the effectiveness of a deep learning approach for semantic and instance segmentation of these point clouds. The proposed methodology has significant implications for the development of automated inspection and monitoring systems for truss bridges.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Kahyun Jeon, Ghang Lee, Seongmin Yang, Yonghan Kim, Seungah Suh
Summary: This study proposes two enhanced unsupervised text classification methods for domain-specific non-English text. The results of the tests show that these methods achieve excellent performance on Korean building defect complaints, outperforming state-of-the-art zero-shot and few-shot text classification methods, with minimal data preparation effort and computing resources.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Yoonhwa Jung, Julia Hockenmaier, Mani Golparvar-Fard
Summary: This study introduces a transformer-based natural language processing model, UNIfORMATBRIDGE, that automatically labels activities in a project schedule with Uniformat classification. Experimental results show that the model performs well in matching unstructured schedule data to Uniformat classifications. Additionally, the study highlights the importance of this method in developing new techniques.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
De-Graft Joe Opoku, Srinath Perera, Robert Osei-Kyei, Maria Rashidi, Keivan Bamdad, Tosin Famakinwa
Summary: This paper introduces a digital twin technology combining Building Information Modelling and the Internet of Things for the construction industry, aiming to optimize building conditions. The technology is implemented in a university library, successfully achieving real-time data capture and visual representation of internal conditions.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Zaolin Pan, Yantao Yu
Summary: The construction industry faces safety and workforce shortages globally, and worker-robot collaboration is seen as a solution. However, robots face challenges in recognizing worker intentions in construction. This study tackles these challenges by proposing a fusion method and investigating the best granularity for recognizing worker intentions. The results show that the proposed method can recognize multi-granular worker intentions effectively, contributing to seamless worker-robot collaboration in construction.
AUTOMATION IN CONSTRUCTION
(2024)