Design of Autonomous Inspection Robots for Infrastructure Monitoring

  • Authors

    • Dr. Pooja Agarwal Professor, Aligarh Muslim University, India. Author
    • Dr. Rakesh Chandra Associate Professor, University of Calcutta, India. Author

    DOI:

    https://doi.org/10.67228/30715725/IJIARE-2020PII4H7C

    Published 07-02-2020

  • Autonomous Inspection Robot, Infrastructure Monitoring, Mobile Robots, Computer Vision, Structural Health Monitoring, Sensor Fusion, Defect Detection, Wireless Communication, Robotics, Intelligent Monitoring Systems

    Issue

    Vol. 3 No. 2 (2020)

    Section

    Articles

    How to Cite

    [1]
    P. Agarwal and R. Chandra, “Design of Autonomous Inspection Robots for Infrastructure Monitoring”, IJIARE, vol. 3, no. 2, pp. 01–18, Jul. 2020, doi: 10.67228/30715725/IJIARE-2020PII4H7C.

  • Abstract

    Rapid urbanization, industrialization, and aging infrastructure have increased the need for efficient monitoring systems. Traditional manual inspections of bridges, tunnels, pipelines, dams, railway tracks, and industrial facilities are costly, time-consuming, labor-intensive, and risky. Autonomous inspection robots offer an advanced solution for smart infrastructure monitoring and maintenance. This study reviews autonomous inspection robots developed before February 2019, focusing on their design, navigation, sensors, communication systems, and control methods. These robots use technologies such as LiDAR, ultrasonic sensors, infrared cameras, thermal imaging, GPS, and wireless communication for real-time monitoring, defect detection, and predictive maintenance. Machine learning and computer vision further improve inspection accuracy. Different robot types, including wheeled, tracked, aerial, climbing, underwater, and hybrid robots, are compared based on mobility, adaptability, energy efficiency, and inspection performance. The paper also proposes an autonomous wheeled inspection robot using sensor fusion and computer vision for obstacle avoidance, wireless communication, and autonomous navigation. Results show that autonomous inspection robots improve safety, fault detection, and inspection efficiency compared to manual methods. Challenges such as power consumption, communication delays, localization errors, and sensor calibration are discussed. Future developments involving AI, IoT, cloud robotics, edge computing, swarm robotics, and digital twins are expected to enhance intelligent infrastructure monitoring systems.

  • References

    [1] Murphy, R. R. (2014). Disaster Robotics. MIT Press.

    [2] Siciliano, B., & Khatib, O. (2016). Springer Handbook of Robotics. Springer International Publishing.

    [3] La, H. M., Gucunski, N., Kee, S. H., & Nguyen, L. V. (2017). Autonomous robotic system for bridge deck data collection and analysis. Automation in Construction, 85, 155–169.

    [4] Gucunski, N., Kee, S. H., La, H. M., Basily, B., & Maher, A. (2015). Implementation of a robotic platform for bridge deck assessment. Journal of Infrastructure Systems, 21(3), 04014041.

    [5] Yi, T. H., Li, H. N., & Gu, M. (2013). Recent research and applications of GPS-based monitoring technology for high-rise structures. Structural Control and Health Monitoring, 20(5), 649–670.

    [6] Fukushima, T., Kawakami, Y., & Kamegawa, T. (2014). Development of a wall-climbing robot using magnetic adhesion for steel bridge inspection. Advanced Robotics, 28(17), 1159–1170.

    [7] Roh, S. G., Choi, H. R., & Ryew, S. M. (2011). In-pipe robot mechanism for active steering and navigation. IEEE Transactions on Robotics, 27(1), 111–123.

    [8] Kakogawa, A., Ma, S., & Tadokoro, S. (2015). Snake-like robots for pipe inspection and maintenance applications. Robotics and Autonomous Systems, 63, 100–110.

    [9] Tache, F., Fischer, W., & Siegwart, R. (2009). Inspection robot for sewer systems using autonomous navigation. Automation in Construction, 18(5), 557–564.

    [10] Hrabar, S. (2012). 3D path planning and stereo-based obstacle avoidance for rotorcraft UAVs. IEEE/RSJ International Conference on Intelligent Robots and Systems, 807–814.

    [11] Ellenberg, A., Kontsos, A., Moon, F., & Bartoli, I. (2016). Bridge inspection using unmanned aerial vehicles. Journal of Bridge Engineering, 21(1), 04015018.

    [12] Metni, N., & Hamel, T. (2007). A UAV for bridge inspection: Visual servoing control law with orientation limits. Automation in Construction, 17(1), 3–10.

    [13] Campos, M. F. M., et al. (2016). Cooperative UAVs and sensor networks for infrastructure monitoring. Sensors, 16(11), 1765.

    [14] Whitcomb, L. L. (2000). Underwater robotics: Out of the research laboratory and into the field. IEEE International Conference on Robotics and Automation, 709–716.

    [15] Yuh, J. (2000). Design and control of autonomous underwater robots: A survey. Autonomous Robots, 8(1), 7–24.

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