Home // UBICOMM 2024, The Eighteenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies // View article

Self-Navigating Mobile Robot for Assisting with Load Transportation for Physically Limited Users

Authors:
Márcio Mendonça
Wagner Fontes Godoy
Luigi L. Saito
Rodrigo H. C. Palácios
Janaína F. S. Gonçalves
Marco Antonia M. Laia

Keywords: Technological applications in social environments; Service robotics; Autonomous robotics.

Abstract:
Robotics is an expanding field that aims to automate tasks traditionally performed by humans using machines. Mobile robotics involves using mechanical system dynamics to execute tasks, with sensors gathering environmental data to navigate and perform these tasks. Assistive robotics uses autonomous robots to aid individuals with disabilities or limitations, such as transporting loads for pregnant women and the elderly. This paper details the development of a low-cost autonomous mobile robot capable of following its user and avoiding obstacles, analogous to a leader-following robot. The system employs a fuzzy controller and a state machine. A simulation and a prototype were created, demonstrating the ability to track a target and avoid obstacles in real time. The study concludes with recommendations for future research.

Pages: 1 to 4

Copyright: Copyright (c) IARIA, 2024

Publication date: September 29, 2024

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-68558-191-6

Location: Venice, Italy

Dates: from September 29, 2024 to October 3, 2024