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JRM Vol.22 No.1 pp. 50-64
doi: 10.20965/jrm.2010.p0050
(2010)

Paper:

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Recognition and Removal of Interior Facilities by Vision-Based Robot System

S. Rolando Cruz-Ramírez, Tatsuo Arai, Yasushi Mae,
Tomohito Takubo, and Kenichi Ohara

Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, Osaka 560-8531, Japan

Received:
July 18, 2009
Accepted:
September 8, 2009
Published:
February 20, 2010
Creative Commons License
Keywords:
dismantling robot system, human-robot collaboration, multiple viewpoints for recognition, active lighting, on-site experiment
Abstract
For future dismantling jobs in the renovation of the interiors of office buildings, we propose a robotic dismantling system that will assist human workers with the hard works. As an application of the robotic system, this paper presents the process of removing ceiling fixtures, such as Lamp Panels (LPs) and Air Conditioning Vents (ACVs), by man and robot. In this collaboration, a robot arm provides assistance by holding and collecting the fixtures, and the human worker only removes screws and/or nuts. In order to lead the robot to a holding position, the human worker indicates a position on the fixture to the robot with brief and simple instructions. The robot estimates the pose of the fixture through 3D model-based object recognition with a hand-mounted stereo camera. The integration of multiple viewpoints for the robot with an active lighting system enhances the recognition performance against both natural lighting changes at the site and the variability in the pose between the camera and the object to be recognized. As a verification experiment, the sequential removal of several different ceiling fixtures is presented. In this experiment, robust recognition is achieved with an average accuracy of 10 mm. The feasibility of the system is verified by using the completion time and the precision requirements in a practical environment.
Cite this article as:
S. Cruz-Ramírez, T. Arai, Y. Mae, T. Takubo, and K. Ohara, “Recognition and Removal of Interior Facilities by Vision-Based Robot System,” J. Robot. Mechatron., Vol.22 No.1, pp. 50-64, 2010.
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