Development of an Intelligent Compact Crawler Robot for House Foundation Inspection

Authors

  • Keiichiro Masuda Graduate School of Science and Engineering, Hosei University
  • Goragod Pongthanisorn Graduate School of Science and Engineering, Hosei University
  • Genci Capi Graduate School of Science and Engineering, Hosei University

Keywords:

Crawler robot, Deep Learning, House foundation investigation, damage recognition

Abstract

In this work, we propose a mobile robot for house foundation inspection. The robot can operate in user-controlled mode and in autonomous mode. In user-controlled mode, the developed robot exchange information with the user through a GUI system. In addition, the operator can control the robot remotely. The robot moving trajectory is shown in the developed GUI. In autonomous mode the robot utilizes trained Deep Learning models running in the Raspberry Pi for concrete crack and water leaking detection.  The results show that the proposed system is functioning well in the experimental environment and can be further  expanded for other implementations.

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Published

2023-09-11

How to Cite

Masuda, K., Pongthanisorn, G., & Capi, G. (2023). Development of an Intelligent Compact Crawler Robot for House Foundation Inspection. WiPiEC Journal - Works in Progress in Embedded Computing Journal, 9(2). Retrieved from https://wipiec.digitalheritage.me/index.php/wipiecjournal/article/view/37

Issue

Vol. 9 No. 2 (2023): WiPiEC Journal

Section

Articles

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Copyright (c) 2023 Keiichiro Masuda, Goragod Pongthanisorn, Genci Capi

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