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Al-Bayati, A J, Eiris, R, Hernandez, G O and Al-Bayati, M A (2023) Addressing social inequity in construction safety research: Personal protective equipment focus. Journal of Construction Engineering and Management, 149(12).
Deep, S, Gajendran, T, Jefferies, M and Jha, K N (2023) Developing subcontractor-general contractor relationships in the construction industry: Constructs and scales for analytical decision making. Journal of Construction Engineering and Management, 149(12).
Gebretekle, Y T and Fayek, A R (2023) Fuzzy agent-based modeling of competency and performance measures in construction. Journal of Construction Engineering and Management, 149(12).
Hadi, A, Cheung, F, Adjei, S and Dulaimi, A (2023) Evaluation of lean off-site construction literature through the lens of industry 4.0 and 5.0. Journal of Construction Engineering and Management, 149(12).
Han, J and Huang, H (2023) Cooperative behavior, supervision, and contract choice in PPP projects: An evolutionary game theory approach incorporating an other-regarding preference. Journal of Construction Engineering and Management, 149(12).
Hu, Z, Chan, W T and Hu, H (2023) Personalized construction safety interventions considering cognitive-related factors. Journal of Construction Engineering and Management, 149(12).
Lai, X, Huang, J, Lin, S, Hu, C, Mao, N, Liu, J and Chen, Q (2023) Efficiency scoring for subway tunnel construction based on shield-focused big data and Gaussian broad learning system. Journal of Construction Engineering and Management, 149(12).
Li, M, Lin, Q and Jin, H (2023) Research on near-miss incidents monitoring and early warning system for building construction sites based on blockchain technology. Journal of Construction Engineering and Management, 149(12).
Ling, F Y Y, Heng, G T H, Chang-Richards, A, Chen, X and Yiu, T W (2023) Impact of digital technology adoption on the comparative advantage of architectural, engineering, and construction firms in Singapore. Journal of Construction Engineering and Management, 149(12).
Luo, X, Li, X, Song, X and Liu, Q (2023) Convolutional neural network algorithm-based novel automatic text classification framework for construction accident reports. Journal of Construction Engineering and Management, 149(12).
Moohialdin, A S M, Lamari, F, Miska, M and Trigunarsyah, B (2023) Proximity activity intensity identification system in hot and humid weather conditions: Development and implementation. Journal of Construction Engineering and Management, 149(12).
Mostofi, F and Toǧan, V (2023) A data-driven recommendation system for construction safety risk assessment. Journal of Construction Engineering and Management, 149(12).
Shi, L, He, Y and Onishi, M (2023) Effect of the internal agency problem on risk-sharing incentive contracts in public-private partnership projects. Journal of Construction Engineering and Management, 149(12).
Siddika, A and Lu, M (2023) Project schedule acceleration optimization integrated with energy source-based assessment of occupational health and safety risks. Journal of Construction Engineering and Management, 149(12).
Taghaddos, M, Pereira, E, Osorio-Sandoval, C, Hermann, U and Abourizk, S (2023) A data-driven approach for deploying safety policies for schedule planning in industrial construction projects: A case study. Journal of Construction Engineering and Management, 149(12).
Thekinen, J D, Pandey, N, Mollaoglu, S, Duva, M, Frank, K and Zhao, D (2023) Detecting information bottlenecks in architecture engineering construction projects for integrative project management. Journal of Construction Engineering and Management, 149(12).
Venkatesh, P and Ergan, S (2023) Classification of challenges in achieving BIM-based safety-requirement checking in vertical construction projects. Journal of Construction Engineering and Management, 149(12).
Xiahou, X, Li, Z, Xia, J, Zhou, Z and Li, Q (2023) A feature-level fusion-based multimodal analysis of recognition and classification of awkward working postures in construction. Journal of Construction Engineering and Management, 149(12).
Xu, Z, Guo, X, Zhao, Y and Liu, X (2023) Performance of CFRP-bolted timber joints with slotted-in corrugated steel plates. Journal of Construction Engineering and Management, 149(12).
Xue, Y, Le, Y, Zhang, X and Jiang, K (2023) Exploring schedule risks in large airport operational readiness: Risk identification and the systematic model. Journal of Construction Engineering and Management, 149(12).
Yang, J, Zhong, B, Gao, H and Wang, Y (2023) Task decomposition and service composition on an innovative blockchain-based construction service trading platform to select construction services. Journal of Construction Engineering and Management, 149(12).
Yi, W, Wang, H, Zhen, L and Liu, Y (2023) Automated generation of horizontal precast slab stacking plans. Journal of Construction Engineering and Management, 149(12).
Zhou, T, Xia, P, Ye, Y and Du, J (2023) Embodied robot teleoperation based on high-fidelity visual-haptic simulator: Pipe-fitting example. Journal of Construction Engineering and Management, 149(12).
- Type: Journal Article
- Keywords: construction; digital twins; haptic feedback; laboratory; physics engine; robot teleoperation; virtual reality
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-13916
- Abstract:
Robot teleoperation, a control method allowing human operators to manipulate robotic systems remotely, has become increasingly popular in construction applications. A significant challenge is the disconnection between the robot sensor data and the human operator's sensory processes, creating a sensorimotor mismatch in motor-intensive activities. This disconnection is particularly challenging in motor-intensive activities that require accurate perception and response. Researchers have started investigating haptic interactions to enhance the control feedback loop, including simulating contacts, motions, and tactile input. However, although current methodologies have advanced the field, they often focused on certain aspects and could be further expanded to provide a more comprehensive simulation of the physical interaction that occurs in typical construction operations. This study designs and tests a comprehensive high-fidelity embodied teleoperation method that simulates complete real-world physical processes via the physics engine. The proposed method captures all categories of physical interaction in typical motor-intensive construction tasks, including weight, texture, inertia, impact, balance, rotation, and spring. A human-subject experiment shows that the proposed method substantially improves performance and human functions in a teleoperated pipe-fitting task. The results indicate that the proposed multisensory augmentation method significantly enhances performance and user experience, offering valuable insights for designing innovative robot teleoperation systems for future construction applications.