Developing a Mobile Robot to Detect and Collect an Object based on CNN and IMU Sensor

DOI

10.2991/978-94-6463-678-9_42How to use a DOI?

Keywords

CNN; Image classification and localization; IMU sensor; Mobile robot; Raspberry Pi

Abstract

Object detection and tracking technologies in robotics have gained prominence in industrial and warehouse processes, offering increased efficiency, safety, and productivity. Robots equipped with these technologies excel in replacing humans in repetitive tasks, allowing individuals to focus on more complex and creative endeavours. However, challenges such as real-time processing, sensor limitations, and high costs hinder widespread adoption. This study addresses these challenges by proposing the use of the Raspberry Pi 3 + as a cost-effective solution for robotics applications, specifically in object detection and tracking. The Raspberry Pi, known for its affordability and adaptability, serves as a low-cost, single-board computer capable of interfacing with various sensors and cameras. In addition, its application in robotics relies on striking a balance between cost efficiency and computational power. This study aims to develop an advanced robotic mobile system employing Convolutional Neural Networks (CNN), OpenCV, and an Inertial Measurement Unit (IMU) sensor. The proposed system leverages CNN for precise object detection and localization, OpenCV for real-time image processing and bounding box generation, and an IMU sensor for enhanced spatial awareness and navigation.

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  - Iffah Syafiqah Abdul Ghani
AU  - Nyayu Latifah Husni
AU  - Selamat Muslimin
AU  - Ekawati Prihatini
AU  - Grzegorz Królczyk
AU  - Wahyu Caesarendra
PY  - 2025
DA  - 2025/05/01
TI  - Developing a Mobile Robot to Detect and Collect an Object based on CNN and IMU Sensor
BT  - Proceedings of the 8th FIRST 2024 International Conference on Global Innovations (FIRST-ESCSI 2024 )
PB  - Atlantis Press
SP  - 443
EP  - 461
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-678-9_42
DO  - 10.2991/978-94-6463-678-9_42
ID  - Ghani2025
ER  -