Home // ACHI 2024, The Seventeenth International Conference on Advances in Computer-Human Interactions // View article

Human-Machine Interface for Real-Time Interaction Focused on LiDAR SLAM Feature Extraction

Authors:
Natalia Prieto-Fernández
Sergio Fernández-Blanco
Álvaro Fernández-Blanco
José Alberto Benítez-Andrades
Francisco Carro-De-Lorenzo
Carmen Benavides

Keywords: Human-Machine Interface (HMI); Light Detection and Ranging (LiDAR); Simultaneous Localization and Mapping (SLAM); teleoperation.

Abstract:
The development of Human-Machine Interfaces (HMIs) capable of visualising real-time processed data from robotic systems is of essential importance today. These graphical user interfaces play a crucial role in the smooth and efficient interaction between humans and robots, resulting in a significant improvement in the productivity and safety of various industrial and scientific applications. In this context, the present work addresses the design and development of an innovative human-machine interface for real-time 2D Light Detection and Ranging (LiDAR) based Simultaneous Localization and Mapping (SLAM). Such interface has been implemented in MATLAB and establishes an effective communication with the Robot Operating System (ROS) environment. Its straightforward design, planned for real-time teleoperation, facilitates the acquisition and analysis of data from sensors and actuators of a robotic system. The real-time processing of the data supports computationally expensive tasks, such as those associated with SLAM processing. Indeed, feature extraction for environment mapping from 2D LiDAR data is one of its applications.

Pages: 114 to 120

Copyright: Copyright (c) IARIA, 2024

Publication date: May 26, 2024

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-68558-163-3

Location: Barcelona, Spain

Dates: from May 26, 2024 to May 30, 2024