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Publication
Artificial intelligence-based user interaction module for autonomous mobile service robots
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| 3.78 MB | Adobe PDF |
Advisor(s)
Abstract(s)
With the evolution of Artificial Intelligence (AI) technologies, there is a growing demand for Intelligent Personal Assistants (IPAs) that allow fluid communication with humans.
However, there are still several challenges to overcome, such as difficulty in understanding nuances in some contexts. Therefore, this study seeks to mitigate these gaps by presenting a modular and scalable architecture for integrating IPAs into autonomous service robots. The architecture allows communication between various robot systems and peripherals with AI mechanisms, including Large Language Model (LLM) and Natural Language Processing, which seek to improve the user experience. The proposed architecture was applied to developing a service robot designed to guide and interact with people in a university environment, incorporating the RASA framework with an LLM for natural language processing and response generation. The paper discusses the adopted technologies, the current state of development, the difficulties encountered, and the analysis of the
first feedback from volunteers.
Description
Keywords
Service Robots Artificial Intelligence Human-Robot Interaction Intelligent Personal Assistant
Pedagogical Context
Citation
Alcantara, Carlos Boduar; Oliveira Júnior, Alexandre de; Costa, Julio; Ricken, Lucas; Mendes, Andre C.; Leitão, Paulo. (2024). Artificial Intelligence-Based User Interaction Module for Autonomous Mobile Service Robots. In the 3rd Industrial Electronics Society Annual On-Line Conference, ONCON 2024. p. 1-6
Publisher
Institute of Electrical and Electronics Engineers