Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 22 results ...
Abdul Nabi, M and El-adaway, I H (2022) A Proactive Risk Assessment Framework to Maximize Schedule Benefits of Modularization in Construction Projects. Journal of Construction Engineering and Management, 148(07).
Ahmad, R, Nauman, S and Malik, S Z (2022) Tyrannical Leader, Machiavellian Follower, Work Withdrawal, and Task Performance: Missing Links in Construction Projects. Journal of Construction Engineering and Management, 148(07).
Assaad, R H, El-adaway, I H, Hastak, M and LaScola Needy, K (2022) Quantification of the State of Practice of Offsite Construction and Related Technologies: Current Trends and Future Prospects. Journal of Construction Engineering and Management, 148(07).
Assaad, R H, El-adaway, I H, Hastak, M and LaScola Needy, K (2022) The Impact of Offsite Construction on the Workforce: Required Skillset and Prioritization of Training Needs. Journal of Construction Engineering and Management, 148(07).
Brandalise, F M P, Formoso, C T and Viana, D D (2022) Development of a Typology for Understanding Visual Management Concepts and Their Relationships. Journal of Construction Engineering and Management, 148(07).
Chen, L, Zhang, J and Peng, W (2022) Research on the Hierarchical Discrete Time-Cost Trade-Off Problem for Program. Journal of Construction Engineering and Management, 148(07).
Jayaraj, S, Doerfel, M L and Williams, T (2022) Clique to Win: Impact of Cliques, Competition, and Resources on Team Performance. Journal of Construction Engineering and Management, 148(07).
Khan, M, Khalid, R, Anjum, S, Tran, S V and Park, C (2022) Fall Prevention from Scaffolding Using Computer Vision and IoT-Based Monitoring. Journal of Construction Engineering and Management, 148(07).
Kim, S, Hwang, S and Son, J (2022) Safety Management Guidelines for Precast Concrete Production Plants Using Importance-Performance Analysis. Journal of Construction Engineering and Management, 148(07).
Li, Y and Ning, Y (2022) Mitigating Opportunistic Behaviors in Consulting Projects: Evidence from the Outsourced Architectural and Engineering Design. Journal of Construction Engineering and Management, 148(07).
Li, Y, Soomro, M A, Khan, A N, Han, Y and Xue, R (2022) Impact of Ethical Leadership on Employee Turnover Intentions in the Construction Industry. Journal of Construction Engineering and Management, 148(07).
Li, Y, Wang, J, Cao, L, Wei, D and Wang, Y (2022) Three-Step Mathematical Model for Optimizing Rebar Cutting-Stock with Practical Application. Journal of Construction Engineering and Management, 148(07).
Mahmoud, S, Hussein, M, Zayed, T and Fahmy, M (2022) Multiobjective Optimization Model for the Life Cycle Cost-Sustainability Trade-Off Problem of Building Upgrading Using a Generic Sustainability Assessment Tool. Journal of Construction Engineering and Management, 148(07).
Martínez Fernández, P, Villalba Sanchís, I, Insa Franco, R and Yepes, V (2022) Slab Track Optimization Using Metamodels to Improve Rail Construction Sustainability. Journal of Construction Engineering and Management, 148(07).
Mucheti, A S and Albuquerque, P J R d (2022) Influence of Execution Speed on Displacements of Soil-Nailed Structures with Vertical Face in Urban Areas. Journal of Construction Engineering and Management, 148(07).
Shi, M, Wang, J, Li, Q, Cui, B, Guan, S and Zeng, T (2022) Accelerated Earth-Rockfill Dam Compaction by Collaborative Operation of Unmanned Roller Fleet. Journal of Construction Engineering and Management, 148(07).
Shi, Q, Chen, X, Xiao, C and Han, Y (2022) Network Perspective in Megaproject Management: A Systematic Review. Journal of Construction Engineering and Management, 148(07).
Spearing, L A, Bakchan, A, Hamlet, L C, Stephens, K K, Kaminsky, J A and Faust, K M (2022) Comparing Qualitative Analysis Techniques for Construction Engineering and Management Research: The Case of Arctic Water Infrastructure. Journal of Construction Engineering and Management, 148(07).
Wang, X, Arditi, D and Ye, K (2022) Coupling Effects of Economic, Industrial, and Geographical Factors on Collusive Bidding Decisions. Journal of Construction Engineering and Management, 148(07).
Xiao, B, Wang, Y and Kang, S (2022) Deep Learning Image Captioning in Construction Management: A Feasibility Study. Journal of Construction Engineering and Management, 148(07).
Zhang, M and Ge, S (2022) Vision and Trajectory–Based Dynamic Collision Prewarning Mechanism for Tower Cranes. Journal of Construction Engineering and Management, 148(07).
Zhou, T, Zhu, Q, Shi, Y and Du, J (2022) Construction Robot Teleoperation Safeguard Based on Real-Time Human Hand Motion Prediction. Journal of Construction Engineering and Management, 148(07).
- Type: Journal Article
- Keywords: Teleoperation; Human motion prediction; Deep learning; Collision avoidance;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002289
- Abstract:
Robotic teleoperation has shown great potentials in various construction applications. With the advancements of virtual telepresence and motion capture technologies, bilateral teleoperation has been tested in precision construction operations, where a human operator can drive the motion of a remote robot with their natural body motions. A significant challenge is that because of the mismatch between robot mechanic design and the human body, such as a different number of joints of a robotic arm and a human arm, the recovered robot motions driven by human hand motions may not be desired, leading to unintended consequences including collision. This study presents a proactive collision avoidance system based on the real-time prediction of human hand motions. The proposed method, Feature-based Human-Motion Prediction (FHMP), stores streaming motion data into a data pool, quantifies the spatiotemporal relationship between gaze focus and hand movement trajectories, and segments and clusters the streaming data into different pattern groups based the motion pattern similarity. Different machine learning (ML) models are trained for each of the pattern groups. During the real-time prediction, whenever a pattern change is detected, the ML model is transitioned to a new model that matches the new pattern. A data buffering approach is used to reuse the old data and old ML model for a certain period of time before the new ML model is well trained, to ensure an uninterrupted real-time prediction of human hand motions. The gaze and hand motion data of a human subject experiment (