Web-based Interface to control autonomous robotic systems in hospital scenarios-Reference-Cited by-同舟云学术

Web-based Interface to control autonomous robotic systems in hospital scenarios

Published:2024-07-26 Issue:45 Volume: Page:
ISSN:3045-4093
Container-title:Jornadas de Automática
language:
Short-container-title:JA-CEA

Author:

TIRADO BOU DESAMPARADOS^ORCID,Marín Prades Raúl^ORCID,Sanz Valero Pedro José^ORCID

Abstract

We developed a graphical interface for an autonomous support robot to assist health personnel with the care of infectious patients, such as those with COVID-19. Using the React Framework, the interface design is in the experimental phase, tested on a real robot. Its main goal is to enable remote motor control and Lidar data visualization, compatible with any Robot Operating System (ROS) setup via ROSbridge, which uses websockets to expose ROS communication channels. The system leverages roslibjs, React, and React Three Fiber, utilizing WebGL and Three.js for smooth web integration. The user interface includes interactive elements for camera feeds, motor control, and Lidar data visualization. This enhances ROS capabilities beyond local networks, fostering new remote robotics applications. The control module is part of a comprehensive system for managing tasks related to patient care.

Publisher

Universidade da Coruna

Reference9 articles.

1. Arce, D., Balbuena, J., Menacho, D., Caballero, L., Cisneros, E., Huanca, D., Alvites, M., Beltran, C., Cuellar, F., 2022. Design and implementation of telemarketing robot with emotion identification for human-robot interaction. In: 2022 Sixth IEEE International Conference on Robotic Computing (IRC). pp. 177–180.

2. Ivanov, A., Zakiev, A., Tsoy, T., Hsia, K.-H., 2021. Online monitoring and visualization with ros and reactjs. In: 2021 International Siberian Conference on Control and Communications (SIBCON). pp. 1–4. DOI: 10.1109/SIBCON50419.2021.9438890

3. Jensen, K., Larsen, M., Nielsen, S. H., Larsen, L. B., Olsen, K. S., Jørgensen, R. N., 2014. Towards an open software platform for field robots in precision agriculture. Robotics 3 (2), 207–234. URL: https://www.mdpi.com/2218-6581/3/2/207 DOI: 10.3390/robotics3020207

4. Nukala, S., Sugaya, M., Nagarajan, S., 2023. Web based lidar point cloud visualization and teleoperation tool for robots. In: 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT). pp. 1–6. DOI: 10.1109/ICCCNT56998.2023.10307953

5. Szafr, D., Szafr, D. A., 2021. Connecting human-robot interaction and data visualization. In: 2021 16th ACM/IEEE International Conference on Human-Robot Interaction (HRI). pp. 281–292.