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Neural Network-Based Obstacle and Pothole Avoiding Robot
Department of Computer Science and Engineering, University of Chittagong, Chittagong, 4331, Bangladesh.ORCID iD: 0000-0003-3981-0900
Department of Computer Science and Engineering, University of Chittagong, Chittagong, 4331, Bangladesh.ORCID iD: 0000-0002-7473-8185
Cumming School of Medicine, University of Calgary, Calgary, AB, T2N 1N4, Canada.
LuleƄ University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-0244-3561
2023 (English)In: Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering - TCCE 2022 / [ed] M. Shamim Kaiser; Sajjad Waheed; Anirban Bandyopadhyay; Mufti Mahmud; Kanad Ray, Springer Science and Business Media Deutschland GmbH , 2023, Vol. 1, p. 173-184Conference paper, Published paper (Refereed)
Abstract [en]

The main challenge of any mobile robot is to detect and avoid obstacles and potholes. This paper presents the development and implementation of a novel mobile robot. An Arduino Uno is used as the processing unit of the robot. A Sharp distance measurement sensor and Ultrasonic sensors are used for taking inputs from the environment. The robot trains a neural network based on a feedforward backpropagation algorithm to detect and avoid obstacles and potholes. For that purpose, we have used a truth table. Our experimental results show that our developed system can ideally detect and avoid obstacles and potholes and navigate environments.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2023. Vol. 1, p. 173-184
Series
Lecture Notes in Networks and Systems, ISSN 2367-3370, E-ISSN 2367-3389 ; 618
Keywords [en]
Artificial intelligence, Mobile robot, Neural network, Obstacle avoiding, Pothole avoiding
National Category
Robotics
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-99532DOI: 10.1007/978-981-19-9483-8_15Scopus ID: 2-s2.0-85163379328ISBN: 978-981-19-9482-1 (print)ISBN: 978-981-19-9483-8 (electronic)OAI: oai:DiVA.org:ltu-99532DiVA, id: diva2:1787228
Conference
4th International Conference on Trends in Computational and Cognitive Engineering, TCCE 2022, Tangail, Bangladesh, December 17-18, 2022
Available from: 2023-08-11 Created: 2023-08-11 Last updated: 2025-02-05Bibliographically approved

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Andersson, Karl

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