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Adeli, H and Wu, M (1998) Regularization Neural Network for Construction Cost Estimation. Journal of Construction Engineering and Management, 124(01), 18–24.
Ballard, G and Howell, G (1998) Shielding Production: Essential Step in Production Control. Journal of Construction Engineering and Management, 124(01), 11–17.
Fayek, A (1998) Competitive Bidding Strategy Model and Software System for Bid Preparation. Journal of Construction Engineering and Management, 124(01), 1–10.
Hinze, J, Pedersen, C and Fredley, J (1998) Identifying Root Causes of Construction Injuries. Journal of Construction Engineering and Management, 124(01), 67–71.
Minato, T and Ashley, D B (1998) Data-Driven Analysis of “Corporate Risk” Using Historical Cost-Control Data. Journal of Construction Engineering and Management, 124(01), 42–47.
Ohrn, L G and Schexnayder, C (1998) Performance-Related Specifications for Highway Construction. Journal of Construction Engineering and Management, 124(01), 25–30.
Saad, I M H and Hancher, D E (1998) Multimedia for Construction Project Management: Project Navigator. Journal of Construction Engineering and Management, 124(01), 82–89.
Senior, B A and Halpin, D W (1998) Simplified Simulation System for Construction Projects. Journal of Construction Engineering and Management, 124(01), 72–81.
Sinfield, J V and Einstein, H H (1998) Tunnel Construction Costs for Tube Transportation Systems. Journal of Construction Engineering and Management, 124(01), 48–57.
Thomas, S R, Tucker, R L and Kelly, W R (1998) Critical Communications Variables. Journal of Construction Engineering and Management, 124(01), 58–66.
Warszawski, A and Navon, R (1998) Implementation of Robotics in Building: Current Status and Future Prospects. Journal of Construction Engineering and Management, 124(01), 31–41.
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)0733-9364(1998)124:1(31)
- Abstract:
A survey to evaluate the state-of-the-art development and employment of building robots was conducted worldwide among construction companies, universities, and other research organizations. The methodology of the survey and its results are presented. The analysis of the results yields a gloomy picture of the present level of on-site of robot employment. The reasons for this situation are identified as follows: (1) Existing robots are not well adapted to building construction. (2) There are problems associated with the conventionally designed building. (3) It is difficult to justify robot employment economically. (4) There are managerial barriers. Consequently, recommendations are offered for more efficient future implementation.