Robot-assisted acoustic inspection of infrastructures - cooperative hammer sounding inspection

This work presents a human-robot cooperative approach for infrastructure inspection. The goal is to create a robot that assists the human inspector during hammer sounding inspections. Hammer sounding is a frequently used inspection technique that detects invisible defects under the surface of concrete by striking the surface with a hammer and listening the resulting sound. The conventional hammer sounding inspection is time-consuming, and there is no convenient way to represent exhaustively the test results. The proposed approach solves these two problems by having an assistant robot following the inspector, and always being able to look at the hammer impact position. The assistant robot accurately estimates the position of the impact in real-time and creates a detailed representation of the test results. Experimental results show the process for creating the detailed inspection report. The accuracy of the human-robot cooperative approach is evaluated for a real world application. The average error of the impact point estimation was 32 millimeters and the standard deviation was 30 millimeters.

[1]  Kyeong Ho Cho,et al.  Development of novel multifunctional robotic crawler for inspection of hanger cables in suspension bridges , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[2]  Sebastian Thrun,et al.  Probabilistic robotics , 2002, CACM.

[3]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[4]  Radu Bogdan Rusu,et al.  3D is here: Point Cloud Library (PCL) , 2011, 2011 IEEE International Conference on Robotics and Automation.

[5]  Shin'ichi Yuta,et al.  Tracking and Following People and Robots in Crowded Environment by a Mobile Robot with SOKUIKI Sensor , 2008, DARS.

[6]  Weihua Sheng,et al.  A Robotic Crack Inspection and Mapping System for Bridge Deck Maintenance , 2014, IEEE Transactions on Automation Science and Engineering.

[7]  Weihua Sheng,et al.  Developing a crack inspection robot for bridge maintenance , 2011, 2011 IEEE International Conference on Robotics and Automation.

[8]  H. Yamada,et al.  Development of an automatic concrete-tunnel inspection system by an autonomous mobile robot , 2000, Proceedings 9th IEEE International Workshop on Robot and Human Interactive Communication. IEEE RO-MAN 2000 (Cat. No.00TH8499).

[9]  P. Cawley,et al.  THE MECHANICS OF THE COIN-TAP METHOD OF NON-DESTRUCTIVE TESTING , 1988 .

[10]  Ji Yeong Lee,et al.  Intelligent Bridge Inspection Using Remote Controlled Robot and Image Processing Technique , 2011 .

[11]  Shin'ichi Yuta,et al.  Vehicle command system and trajectory control for autonomous mobile robots , 1991, Proceedings IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91.

[12]  Atsushi Tabata,et al.  Development of an impact sound diagnosis system for tunnel concrete lining , 2004 .

[13]  N. Elkmann,et al.  Development of Fully Automatic Inspection Systems for Large Underground Concrete Pipes Partially Filled with Wastewater , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[14]  Takahiro Hara,et al.  Inspection of Visible and Invisible Features of Objects with Image and Sound Signal Processing , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[15]  Morgan Quigley,et al.  ROS: an open-source Robot Operating System , 2009, ICRA 2009.