ARIS: Autonomous Real-Time Interactive Social Robot

Abstract

The purpose of this study is to develop and evaluate ARIS (A Real-time Interactive Social Robot), based on a Turtle 4 platform aimed at improving human-robot interactions (HRI) on university campuses. ARIS combines a 3D printed social robot structure with a software architecture based on 2D LiDAR, odometry, and IMU sensors for navigation and mapping, in addition to a voice assistant structured in 3 stages: audio recording, transcriptional processing, reaction, and reproductive synthesis. Experimental results show that the success rate of ARIS is greater than 86.5%, maintaining high accuracy in navigation and obstacle avoidance. The system also offers performance consisting of voice interaction with a total reaction latency of 1500 to 2200 ms. Access to low-cost robotic platforms allows students and researchers access to practical training, customization, and validation in the development of new technologies in social robotics.