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

  1. Natalia Prieto Fernández 2
  2. Sergio Fernández Blanco 3
  3. Álvaro Fernández Blanco 1
  4. José Alberto Benítez-Andrades 2
  5. Francisco Carro de Lorenzo 4
  6. Carmen Benavides 2
  1. 1 Universidad Carlos III de Madrid
    info

    Universidad Carlos III de Madrid

    Madrid, España

    ROR https://ror.org/03ths8210

  2. 2 Department of Electric, Systems and Automatics Engineering. Universidad de León
  3. 3 Universidad de León
    info

    Universidad de León

    León, España

    ROR https://ror.org/02tzt0b78

  4. 4 TRESCA Ingeniería S.A. León, Spain
Erakutsi afiliazioak +
Aktak:
The Seventeenth International Conference on Advances in Computer-Human Interactions (ACHI 2024)

Argitaletxea: IARIA

ISSN: 2308-4138

ISBN: 978-1-68558-163-3

Argitalpen urtea: 2024

Orrialdeak: 114-120

Mota: Biltzar ekarpena

GOOGLE SCHOLAR lock_openSarbide irekia editor

Laburpena

The development of Human-Machine Interfaces(HMIs) capable of visualising real-time processed data fromrobotic systems is of essential importance today. These graphicaluser interfaces play a crucial role in the smooth and efficientinteraction between humans and robots, resulting in a signif-icant improvement in the productivity and safety of variousindustrial and scientific applications. In this context, the presentwork addresses the design and development of an innovativehuman-machine interface for real-time 2D Light Detection andRanging (LiDAR) based Simultaneous Localization and Mapping(SLAM). Such interface has been implemented in MATLAB andestablishes an effective communication with the Robot OperatingSystem (ROS) environment. Its straightforward design, plannedfor real-time teleoperation, facilitates the acquisition and analysisof data from sensors and actuators of a robotic system. The real-time processing of the data supports computationally expensivetasks, such as those associated with SLAM processing. Indeed,feature extraction for environment mapping from 2D LiDAR datais one of its applications.