AHCI RESEARCH GROUP

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OUR RESEARCH

Scientific Publications

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2023

Bottega, J. A.; Kich, V. A.; Jesus, J. C.; Steinmetz, R.; Kolling, A. H.; Grando, R. B.; Guerra, R. S.; Gamarra, D. F. T.

Jubileo: An Immersive Simulation Framework for Social Robot Design Journal Article

In: Journal of Intelligent and Robotic Systems: Theory and Applications, vol. 109, no. 4, 2023, ISSN: 09210296 (ISSN).

Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Computational Linguistics, Cost effectiveness, E-Learning, English language learning, English languages, Human Robot Interaction, Human-robot interaction, Humanoid robot, Humans-robot interactions, Immersive, Language learning, Language Model, Large language model, large language models, Learning game, Machine design, Man machine systems, Open systems, Robot Operating System, Simulation framework, Simulation platform, Virtual Reality

@article{bottega_jubileo_2023,

title = {Jubileo: An Immersive Simulation Framework for Social Robot Design},

author = {J. A. Bottega and V. A. Kich and J. C. Jesus and R. Steinmetz and A. H. Kolling and R. B. Grando and R. S. Guerra and D. F. T. Gamarra},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178895874&doi=10.1007%2fs10846-023-01991-3&partnerID=40&md5=6392af1e9a500ef51c3e215bd9709ce5},

doi = {10.1007/s10846-023-01991-3},

issn = {09210296 (ISSN)},

year  = {2023},

date = {2023-01-01},

journal = {Journal of Intelligent and Robotic Systems: Theory and Applications},

volume = {109},

number = {4},

abstract = {This paper introduces Jubileo, an open-source simulated humanoid robot as a framework for the development of human-robot interaction applications. By leveraging the power of the Robot Operating System (ROS) and Unity in a virtual reality environment, this simulation establishes a strong connection to real robotics, faithfully replicating the robot’s physical components down to its motors and enabling communication with servo-actuators to control both the animatronic face and the joints of a real humanoid robot. To validate the capabilities of the framework, we propose English teaching games that integrate Virtual Reality (VR), game-based Human-Robot Interaction (HRI), and advanced large language models such as Generative Pre-trained Transformer (GPT). These games aim to foster linguistic competence within dynamic and interactive virtual environments. The incorporation of large language models bolsters the robot’s capability to generate human-like responses, thus facilitating a more realistic conversational experience. Moreover, the simulation framework reduces real-world testing risks and offers a cost-effective, efficient, and scalable platform for developing new HRI applications. The paper underscores the transformative potential of converging VR, large language models, and HRI, particularly in educational applications. © 2023, The Author(s), under exclusive licence to Springer Nature B.V.},

keywords = {Anthropomorphic Robots, Computational Linguistics, Cost effectiveness, E-Learning, English language learning, English languages, Human Robot Interaction, Human-robot interaction, Humanoid robot, Humans-robot interactions, Immersive, Language learning, Language Model, Large language model, large language models, Learning game, Machine design, Man machine systems, Open systems, Robot Operating System, Simulation framework, Simulation platform, Virtual Reality},

pubstate = {published},

tppubtype = {article}

}