The COPPER Babysitter Robot, a Childcare Monitoring System from the First year of Age

Ruth A. Bastidas Alva, Angie L. Herrera Poma, Valeryia E. Perez Villa, Frank W. Zarate Peña

Producción científica: Libro o Capítulo del libro Contribución a la conferenciarevisión exhaustiva


This research work presents the design of a mobile robot that monitors the care and integrity of children from the first year of life. The monitoring is done with a surveillance system that uses artificial vision to identify the environment and with help of the SLAM system, the robot can move without any difficulty since the robot itself will be able to map and locate in the environment. The presence sensors also contribute to the robot’s displacement, as they work together with the SLAM system to measure the robot’s distance from objects to avoid collisions. The robot will have two drives, one manual and the other automatic; the choice will be made through an app interface with which the robot’s movement can be controlled; this application can also display the webcam video in real time. In addition to this, there is an alert system in which when the robot detects risk or danger to the child, it emits an alarm and makes a call to the caregiver or parent. This design presents a stable and pleasant structure for the child, an intuitive mechanism for the user and all the suitable components for proper operation. The results of the project will be used to create more complex monitoring and alerting systems.

Idioma originalInglés estadounidense
Título de la publicación alojadaBiologically Inspired Cognitive Architectures 2023 - Proceedings of the 14th Annual Meeting of the BICA Society
EditoresAlexei V. Samsonovich, Tingting Liu
EditorialSpringer Science and Business Media Deutschland GmbH
ISBN (versión impresa)9783031503801
EstadoIndizado - 2024
Evento14th Biologically Inspired Cognitive Architectures Meeting, BICA 2023 - Ningbo, China
Duración: 13 oct. 202315 oct. 2023

Serie de la publicación

NombreStudies in Computational Intelligence
Volumen1130 LNCS
ISSN (versión impresa)1860-949X
ISSN (versión digital)1860-9503


Conferencia14th Biologically Inspired Cognitive Architectures Meeting, BICA 2023

Nota bibliográfica

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.


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