Navigational System for Miniature Robots

This project presents the design and development of a miniature robot car enhanced with autonomous navigation and real-time mapping capabilities. The system utilizes an ESP32 microcontroller to control motor functions, a Raspberry Pi for sensor integration and data processing, and a YDLIDAR X4-Pro sensor for environmental mapping and obstacle detection. Real-time visual feedback is provided through a Raspberry Pi camera, with data from both the camera and LiDAR integrated using the Robot Operating System (ROS) and Simultaneous Localization and Mapping (SLAM) techniques. Additionally, a joystick-based Android application developed using MIT App Inventor enables remote control over a local network. This integrated architecture offers a cost-effective platform for developing mobile robots capable of autonomous navigation, live environmental monitoring, and remote operation.

Authors

Institutions

Publication Details

Published
2025-08-27
DOI
https://doi.org/10.1109/inecce64959.2025.11150877
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Navigational System for Miniature Robots

Nurul Hazlina Noordin, A. Krishnamoorthy
Robotics and Sensor-Based Localization
article

Navigational System for Miniature Robots

Nurul Hazlina Noordin, A. Krishnamoorthy
article en

Abstract

This project presents the design and development of a miniature robot car enhanced with autonomous navigation and real-time mapping capabilities. The system utilizes an ESP32 microcontroller to control motor functions, a Raspberry Pi for sensor integration and data processing, and a YDLIDAR X4-Pro sensor for environmental mapping and obstacle detection. Real-time visual feedback is provided through a Raspberry Pi camera, with data from both the camera and LiDAR integrated using the Robot Operating System (ROS) and Simultaneous Localization and Mapping (SLAM) techniques. Additionally, a joystick-based Android application developed using MIT App Inventor enables remote control over a local network. This integrated architecture offers a cost-effective platform for developing mobile robots capable of autonomous navigation, live environmental monitoring, and remote operation.

Universiti Malaysia Pahang Al-Sultan Abdullah (MY)
Openalex Percentile: Top 67%
Robotics and Sensor-Based Localization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.