Research Status Quo and Trends of Construction Robotics: A Bibliometric Analysis DOI
Huanyu Wu, Yongqi Liu, Ruidong Chang

et al.

Journal of Computing in Civil Engineering, Journal Year: 2023, Volume and Issue: 38(1)

Published: Sept. 25, 2023

Labor shortage and low labor productivity are critical issues in the construction industry. Robotics, as a powerful technology to improve digitization era, is being used assist addressing these problems. Particularly recent years, interest robotics research has risen remarkably. To gain deeper understanding of this burgeoning field, study provides bibliometric analysis 498 related papers retrieved from WoS (Web Science). Performance science mapping were paper identify trends, relationship among authors, top publication sources, regional activities, well knowledge base dominant sub-fields. The results indicated that number focusing on been continuously growing since 2013. "Automation," "system," "design" have most addressed topics robotics. findings indicative identifying deficiencies existing provide directions for future research. Those include greater attention paid experimental on-site robots, while ignoring impacts practical situations, development off-site robots needs more support. For theoretical research, there lack studies human–robot collaboration workflow management models. Therefore, would be valuable providing practitioners researchers with better perspective facilitating building intellectual wealth

Language: Английский

Identifying at-risk workers using fNIRS-based mental load classification: A mixed reality study DOI
Shiva Pooladvand,

Woei-Chyi Chang,

Sogand Hasanzadeh

et al.

Automation in Construction, Journal Year: 2024, Volume and Issue: 164, P. 105453 - 105453

Published: May 13, 2024

Language: Английский

Citations

4
Understanding construction workers’ cognitive processes under risky scenarios through electroencephalography DOI Creative Commons
Tanghan Jiang, Yihai Fang, Zheng Nan

et al.

Automation in Construction, Journal Year: 2024, Volume and Issue: 166, P. 105674 - 105674

Published: Aug. 7, 2024

The application of the Electroencephalogram (EEG) technology shows promises in uncovering workers' cognitive processes affecting safety performance construction. Despite increasing interest research, it is yet challenging to ensure coherence and mitigate biases when interpreting cognition from EEG data. This paper presents a comprehensive review applications construction categorising aims, methodologies, experiment design, data processing methods evaluation approaches. Furthermore, identifies several critical avenues for future including deeper exploration dynamics safety-critical environments, integration real-time monitoring, longitudinal analysis factors, cultural gender influences on practices, addressing special psychological conditions. emphasises importance considering ethical implications, user acceptability, practical deployment challenges. Overall, makes effort towards guiding effective research safer practices.

Language: Английский

Citations

4
Construction Technology Tools Impacting the AEC Industry in the Last 5 Years DOI
James Olaonipekun Toyin, Anoop Sattineni, Fasoyinu Ayodele Ambrose

et al.

Lecture notes in civil engineering, Journal Year: 2025, Volume and Issue: unknown, P. 718 - 731

Published: Jan. 1, 2025

Language: Английский

Citations

0
Comprehensive Systematic Literature Review on Cognitive Workload: Trends on Methods, Technologies, and Case Studies DOI Creative Commons
Andrea Lucchese, Antonio Padovano, Francesco Facchini

et al.

IET Collaborative Intelligent Manufacturing, Journal Year: 2025, Volume and Issue: 7(1)

Published: Jan. 1, 2025

ABSTRACT Cognitive workload (CWL) assessment has gained traction in Industry 4.0 and 5.0, where human‐machine interactions are becoming more intricate. However, there is a lack of comprehensively addressed CWL by considering methodologies, technologies, case studies. The present work reviews 70 articles related to the assessment. review identifies five main methodologies for assessment: physiological measures (e.g. EEG, HRV, eye‐tracking), subjective evaluation NASA‐TLX), performance evaluation, cognitive load models, multimodal approaches. analysis shows an increasing trend towards approaches that combine methods with obtained from electroencephalography, eye‐tracking, heart rate monitoring devices. Additionally, emerging technologies such as augmented reality collaborative robots increasingly considered studies address current environments. Results reveal significant advancements methods, particularly emphasising real‐time capabilities context‐specific applications. Case underscore key role management assembly, maintenance, construction tasks, demonstrating its impact on performance, safety, adaptability dynamic This establishes framework advancing research addressing methodological limitations proposing future directions, including development personalised, adaptive systems management.

Language: Английский

Citations

0
Exploring three pillars of construction robotics via dual-track quantitative analysis DOI Creative Commons
Yuming Liu,

Aidi Hizami bin Alias,

Nuzul Azam Haron

et al.

Automation in Construction, Journal Year: 2024, Volume and Issue: 162, P. 105391 - 105391

Published: March 23, 2024

Construction robotics has emerged as a leading technology in the construction industry. This paper conducts an innovative dual-track quantitative comprehensive method to analyze current literature and assess future trends. First, bibliometric review of 955 journal articles published between 1974 2023 was performed, exploring keywords, journals, countries, clusters. Furthermore, neural topic model based on BERTopic addresses modeling repetition issues. The study identifies building information (BIM), human–robot collaboration (HRC), deep reinforcement learning (DRL) "three pillars" field. Additionally, we systematically reviewed relevant nested symbiotic relationships. outcome this is twofold: first, findings provide qualitative scientific guidance for research trends; second, analysis methodology simultaneously stimulates critical thinking about other similarly trending topics characterized avoid high degree homogeneity corpus overlap.

Language: Английский

Citations

3
Haptics-Based Robot Teleoperation for Soft Object Manipulation DOI

Thanakon Uthai,

Tianyu Zhou, Yang Ye

et al.

Journal of Construction Engineering and Management, Journal Year: 2025, Volume and Issue: 151(5)

Published: Feb. 24, 2025

Language: Английский

Citations

0
Improving work zone safety: Integrating VR-CARLA co-simulation and eye tracking for behavior analysis of drivers around work zones DOI
Shuo Zhang, Fan Zuo, Semiha Ergan

et al.

Journal of Transportation Safety & Security, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 24

Published: March 3, 2025

Ensuring safety around roadway work zones is difficult which evident by the fact that despite considerable measures, drivers and workers are still exposed to risks. An incomplete understanding of driver behaviors one contributors accidents incidents, prompting establishment behavioral rules a thorough assessment awareness enhance on roadways. Advancements in digital technologies combined with major developments traffic simulation tools, including eye-tracking Car Learning Act (CARLA) platform, provides safe realistic environments virtually simulate diverse hazardous zone scenarios capture driver's without actually exposing them real-world This study presents multi-module immersive car interactive driving platform authentic reactions unstructured zones, leveraging eye tracking VR CARLA co-simulator. Two three cases configurations were implemented for conducting user studies, wherein while traversing was assessed through gaze duration fixation ratios. The findings indicate prioritize their attention exhibiting risky over warning signs, increased emphasis these individuals signage existence. Warning signs enhanced normal workers; however, conditions, drivers' disproportionately diverted workers, diminishing focus workers. Different patterns observed based how notified about suggest multi-type notification systems, such as dynamic displays, wearable devices auditory alerts, human notifiers at center, be keep aware

Language: Английский

Citations

0
Capturing Mental Workload Through Physiological Sensors in Human–Robot Collaboration: A Systematic Literature Review DOI Creative Commons
Eduarda Pereira, Luis Sigcha, Emanuel Silva

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(6), P. 3317 - 3317

Published: March 18, 2025

Human–robot collaboration (HRC) is increasingly prevalent across various industries, promising to boost productivity, efficiency, and safety. As robotics technology advances takes on more complex tasks traditionally performed by humans, the nature of work demands workers are evolving. This shift emphasizes need critically integrate human factors into these interactions, as effectiveness safety systems highly dependent how cooperate with understand robots. A significant challenge in this domain lack a consensus most efficient way operationalize assess mental workload, which crucial for optimizing HRC. In systematic literature review, we analyze different psychophysiological measures that can reliably capture differentiate varying degrees workload HRC settings. The findings highlight standardized methodologies assessment enhance models. Ultimately, aims guide both theorists practitioners creating sophisticated, safe, frameworks providing comprehensive overview existing pointing out areas further study.

Language: Английский

Citations

0
Electrodermal Activity as an Indicator of Cognitive Load for Human-Robot Collaboration in Construction DOI
Seulbi Lee, Bogyeong Lee

Lecture notes in civil engineering, Journal Year: 2025, Volume and Issue: unknown, P. 374 - 382

Published: Jan. 1, 2025

Language: Английский

Citations

0
Systematic review of neurophysiological assessment techniques and metrics for mental workload evaluation in real-world settings DOI Creative Commons

Moussa Diarra,

Jean Theurel,

Benjamin Paty

et al.

Frontiers in Neuroergonomics, Journal Year: 2025, Volume and Issue: 6

Published: April 25, 2025

Mental Workload (MWL) is a concept that has garnered increasing interest in professional settings but remains challenging to define consensually. The literature reports plurality of operational definitions and assessment methods, with no established unified framework. This review aims identify objective validated measurement methods for evaluating MWL real-world work contexts. Particular attention given neurophysiological recognized their efficiency robustness, enabling real-time without disrupting operator activity. To conduct this analysis, systematic search was performed three databases (PubMed, ScienceDirect, IEEEXplore), covering studies published from inception until March 30, 2023. Selection criteria included research focusing on its derivatives, as well measures applied conditions. An initial screening based titles abstracts followed by an in-depth review, assisted the bibliometric software Rayyan. explored concepts, study results were compiled into synthesis table. Ultimately, 35 included, highlighting diversity tools used field settings, often combined subjective assessments. Furthermore, key physiological indicators such ECG, eye data, EEG relationship between metrics those uses measure stress are emphasized discussed. A better understanding these interrelations could refine respective impacts help anticipate consequences workers' mental health safety.

Language: Английский

Citations

0