ARIS: Autonomous Real-Time Interactive Social Robot

Cesar Minaya-Andino; David Minango; Marcelo Zambrano

doi:10.14313/jamris-2026-016

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ARIS: Autonomous Real-Time Interactive Social Robot

Journal of Automation, Mobile Robotics and Intelligent Systems

Volume 20 (2026): Issue 2 (June 2026)

By: Cesar Minaya-Andino, David Minango and Marcelo Zambrano

Open Access

|Jun 2026

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.

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Articles in this issue

DOI: https://doi.org/10.14313/jamris-2026-016 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649

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Language: English

Page range: 9 - 19

Submitted on: Jun 21, 2025

Accepted on: Oct 29, 2025

Published on: Jun 22, 2026

Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

ARIS,

Related subjects:

Artificial intelligence,

Engineering,

Electrical engineering,

Control engineering, metrology and testing,

Mechanical engineering,

Fundamentals of mechanical engineering

© 2026 Cesar Minaya-Andino, David Minango, Marcelo Zambrano, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 20 (2026): Issue 2 (June 2026)