Roadmate - Pothole Repairing Robot

DOI

10.2991/978-94-6463-858-5_180How to use a DOI?

Keywords

Pothole Identification; Infrared Sensors; GPS Module; IoT Integration; Real-time Oversight; Arduino Uno

Abstract

Potholes present a major challenge to roadway infrastructure, leading to vehicle damage, accidents, and expensive maintenance costs. Conventional approaches to pothole identification and repair are labor-intensive, time-consuming, and prone to errors. The Road Mate initiative aims to create and implement a robot capable of autonomously repairing potholes by utilizing Infrared sensors to assess their depth and width. Once a pothole is identified, the robot applies an appropriate material to ensure a smooth surface. This project addresses the difficulties associated with manual repairs, offering a faster, safer, and more cost-effective solution. Initial tests suggest that the robot demonstrates a high degree of accuracy in identifying potholes and applying materials effectively.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Nookala Veera Venkata Krishna Sai Ram
AU  - J. S. V. Sai Hari Priyanka
AU  - Beesetty Viswesh Satyavardhan
AU  - Geada Kishore
AU  - Shaik Faiza Tabasum
PY  - 2025
DA  - 2025/11/04
TI  - Roadmate - Pothole Repairing Robot
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 2159
EP  - 2172
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_180
DO  - 10.2991/978-94-6463-858-5_180
ID  - Ram2025
ER  -