Percorrer por autor "Alcantara, Carlos Boduar"
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- An interactive autonomous visitor guide robot in a university scenarioPublication . Alcantara, Carlos Boduar; Leitão, Paulo; Ricken, LucasService robots has seen advances with the use of Artificial Intelligence technologies, enabling the development of robots capable of interacting more naturally with humans. This dissertation presents the proposal and implementation of an autonomous service robot designed to act as an interactive guide in university environments, focusing on personalized interaction with users. The proposed architecture integrates multiple software and hardware modules, including a chatbot developed with the RASA platform, integration with an embedded Large Language Model (LLM), dynamic facial recognition with local updating, ROS-based navigation, and environmental perception with LiDAR sensors and RGB cameras. Furthermore, the system queries external APIs to provide contextual information, such as weather and class schedules. To evaluate the developed robot, tests were conducted with 25 users, who evaluated the user experience. The observed limitations were discussed as opportunities for improvement for future work. The presented architecture represents a relevant contribution to the field of service robots by proposing a reproducible, scalable, and user experience-centric approach.
- Artificial intelligence-based user interaction module for autonomous mobile service robotsPublication . Alcantara, Carlos Boduar; Oliveira Júnior, Alexandre de; Costa, Julio; Ricken, Lucas; Mendes, Andre C.; Leitão, PauloWith 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.
- Sustainably enhancing olive oil production: intelligent system architecturePublication . Alcantara, Carlos Boduar; Jorge, Luísa; Vaz, Clara B.Olive oil production is a noteworthy economic activity in multiple places worldwide. Due to environmental degradation and lack of resources with population growth, there is a global tendency for more sustainable and efficient practices, driving the implementation of more responsible agricultural and industrial systems. This paper aims to develop an intelligent system architecture focused on optimizing the production of olive oil, improving product quality, reducing operational waste, and maximizing the efficient use of natural resources. Through the use of Industrial Internet of Things (IIoT) technologies, the proposed solution aims to monitor and control the parameters of olive oil production automatically. In addition, the study addresses sensors already used in the market and existing systems to compare and seek improvements. The proposed architecture contains three layers: device, edge, and cloud computing layer, which are integrated and enable the implementation of a scalable and complete solution that allows real-time visualization and control of the production process.