Hostname: page-component-78c5997874-j824f Total loading time: 0 Render date: 2024-11-07T16:35:28.302Z Has data issue: false hasContentIssue false

An improved multipurpose field robot for installing construction materials

Published online by Cambridge University Press:  22 September 2010

Seungyeol Lee
Affiliation:
Center for Cognitive Robotics Research, Korea Institute of Science and Technology, Seoul 136-791, Korea
Seungnam Yu
Affiliation:
Mechanical Engineering, Hanyang University, Seoul 133-791, Korea
Seokjong Yu
Affiliation:
Handset R & D Center, LG Electronics Inc., Seoul 153-801, Korea
Changsoo Han*
Affiliation:
Mechanical Engineering, Hanyang University, Seoul 133-791, Korea
*
*Corresponding author. E-mail: [email protected]

Summary

Recently, there has been a lot of interest concerning remote-controlled robot manipulation in hazardous environments including construction sites, national defense areas, and disaster areas. However, there are problems involving the method of remote control in unstructured work environments such as construction sites. In a previous study, to address these problems, a multipurpose field robot (MFR) system was described. Though the case studies on construction, to which “MFR for installing construction materials” was applied, however, we found some factors to be improved. In this paper, we introduce a prototype of improved multipurpose field robot (IMFR) for construction work. This prototype robot helps a human operator easily install construction materials in remote sites through an upgraded additional module. This module consists of a force feedback joystick and a monitoring device. The human–robot interaction and bilateral communication for strategic control is also described. To evaluate the proposed IMFR, the installation of construction materials was simulated. We simulated the process of installing construction materials, in this case a glass panel. The IMFR was expected to do more accurate work, safely, at construction sites as well as at environmentally hazardous areas that are difficult for humans to approach.

Type
Article
Copyright
Copyright © Cambridge University Press 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Kangari, R., “Advanced Robotics in Civil Engineering and Construction,” International Conference on Advanced Robotics (ICRA'85), Pisa, Italy (1985) pp. 375378.Google Scholar
2.Bock, T., “Construction robotics”, Auton. Robot 22 (3), 201209 (2007).CrossRefGoogle Scholar
3.Isao, S., Hidetoshi, O., Nobuhiro, T. and Hideo, T., “Development of Automated Exterior Curtain-Wall Installation System,” International Symposium on Automation and Robotics in Construction (ISARC'96), Tokyo, Japan (1996) pp. 915924.Google Scholar
4.Masatoshi, H., Yukio, H., Hisashi, M., Kinya, T., Sigeyuki, K., Kohtarou, M., Tomoyuki, T. and Takumi, O., “Development of interior finishing unit assembly system with robot: WASCOR IV research project report,” Autom. Constr. 5 (1), 3138 (1996).Google Scholar
5.Li, Y., Ma, P., Qin, C., Jun, X. and Gao, X., “A novel mobile robot for finned tubes inspection,” Robotica 21 (6), 691695 (2003).CrossRefGoogle Scholar
6.Bock, T., Parschin, D. and Bulgakov, A., “Robotization of mounting and finishing operations in building,” Robotica, 20 (2), 203207 (2002).CrossRefGoogle Scholar
7.Lee, S. Y., Lee, K. Y., Park, B. S. and Han, C. S., “A Multi degree-of-freedom manipulator for curtain-wall installation,” J. Field Robot. 23 (5), 347360 (2006).Google Scholar
8.Kim, S. H.A Robots for dangerous work,” J. KSME. 42 (3), 4551 (2002).Google Scholar
9.Lee, S. H., Adams, T. M. and Ryoo, B. Y., “A fuzzy navigation system for mobile construction robot,” Autom. Constr. 6 (2), 97107 (1997).CrossRefGoogle Scholar
10.Lee, H. G., “Field robot,” J. KSME 42 (3), 5255 (2002).Google Scholar
11.Hollingum, J., “Robots in agriculture,” Ind. Robot. 26 (6), 438445 (1999).CrossRefGoogle Scholar
12.Kangari, R., “Advanced Robotics in Civil Engineering and Construction,” Fifth International Conference on Advanced Robotics, vol. 1 (1991) pp. 375–378.Google Scholar
13.LeMaster, E. A. and Rock, S. M., “A local-area GPS pseudolite-based navigation system for mars rovers,” Auton. Robot. 14 (2–3), 209224 (2006).CrossRefGoogle Scholar
14.Whitcomb, L. L., “Underwater Robotics: Out of the Research Laboratory and into the Field,” Proceedings of the IEEE International Conference on Robotics and Automation, San Francisco, CA, vol. 1, (2000) pp. 709716.Google Scholar
15.Lee, S. H., Adams, T. M. and Ryoo, B. Y., “A fuzzy navigation system for mobile construction robot,” Autom. Constr. 6 (2), 97107 (1997).CrossRefGoogle Scholar
16.Wong, B. and Spetsakis, M., “Scene reconstruction and robot navigation using dynamic fields,” Auton. Robot. 8 (1), 7186 (2000).CrossRefGoogle Scholar
17.Lee, S. Y., Lee, Y. S., Park, B. S., Lee, S. H. and Han, C. S., “MFR (Multipurpose Field Robot) for installing construction materials,” Auton. Robot. 22 (3), 265280 (2007).CrossRefGoogle Scholar
18.Han, H., Automated Construction Technologies: Analyses and Future Development Strategies Master's thesis (Cambridge, MA: Massachusetts Institute of Technology, 2005) pp. 67–68.Google Scholar
19.Hirabayashi, T., Akizono, J., Yamamoto, T., Sakai, H. and Yano, H., “Teleoperation of construction machines with haptic information for underwater applications,” Autom. Constr. 15 (5), 563570 (2006).CrossRefGoogle Scholar
20.Bernold, L. E., “Control schemes for telerobotic pipe installation,” Autom. Constr. 16 (5), 518524 (2007).CrossRefGoogle Scholar