A Low-Cost Social Robot for Gesture-Based Educational Activities and Human-Robot Interaction in Learning Environments
Resumo
This work presents the design and implementation of a low-cost social robot intended for use in educational environments. The robot is constructed using affordable materials such as cardboard and PVC, and uses Arduino-compatible components for actuation and control. It is capable of recognizing and mimicking basic human gestures, such as waving, nodding, and head-shaking, through computer vision techniques using MediaPipe and OpenCV. The system architecture combines gesture recognition, real-time communication, and servomotor actuation to simulate socially meaningful interactions. Beyond its technical capabilities, the robot aims to enhance classroom en-gagement, support socio-emotional learning, and promote hands-on experiences in robotics and programming. The platform is designed for replicability and accessibility, making it particularly suited for public schools and STEM education initiatives.
Palavras-chave:
Computer vision, Conferences, Social robots, Education, Systems architecture, Gesture recognition, Real-time systems, Servomotors, Replicability, Programming profession, Social Robot, Project-Based Learning, Gesture Recognition, STEM
Publicado
13/10/2025
Como Citar
BASTOS, Ana Caroline De O.; PINTO, Milena F.; COUTINHO, Rafaelli C.; SILVA, Fabricio L.; LIMA, Amaro A. De; ARAUJO, Gabriel M..
A Low-Cost Social Robot for Gesture-Based Educational Activities and Human-Robot Interaction in Learning Environments. In: SIMPÓSIO BRASILEIRO DE ROBÓTICA E SIMPÓSIO LATINO AMERICANO DE ROBÓTICA (SBR/LARS), 17. , 2025, Vitória/ES.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 408-413.
