| Grant number: | 17/01687-0 |
| Support Opportunities: | Regular Research Grants |
| Duration: | August 01, 2017 - July 31, 2020 |
| Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Computer Systems |
| Principal Investigator: | Roseli Aparecida Francelin Romero |
| Grantee: | Roseli Aparecida Francelin Romero |
| Host Institution: | Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil |
| Associated researchers: | Artemis Maria Francelin Sanchez Moroni ; Josué Junior Guimarães Ramos |
| Associated grant(s): | 19/22836-0 - Industry 4.0 system concepts and machine learning for intelligent environment design, AP.R SPRINT |
Abstract
Robotic technology is evolving from a situation where robots were completely isolated from people to a situation where robots and humans coexist side by side. The natural evolution of robotic systems is a greater approximation with humans providing physical and social support systems and therefore a comfortable and autonomous life for humans. On the other hand, residential automation projects have been developed for some time, and significant progress can be seen with the so-called smart homes where appliances and electronic devices are connected according to the concept of Internet of Things (IoT). The natural and necessary integration of intelligent houses with robots produces the concept of robotic ecology that offers more robust and modular results than monolithic robots. Robotic ecologies encourage cooperation between robots and intelligent environments as well as providing a more natural communication with humans. The strategy to address this issue involves a number of disciplines, such as: artificial intelligence, machine learning, sensor networks, interface standards, psychology, cognitive science, engineering, among others. This project draws on the knowledge accumulated by the Robot Learning Laboratory of the SCC-ICMC-USP to propose an intelligent home environment that aggregates the following lines of research: robotic ecology, sense ontology, socially acceptable navigation, social robots for entertainment and non-verbal interaction with assistant robot. The expected results include: elaboration of an environment for testing and validation of robotic ecologies, integration of research lines, dissemination of results through publications, theses and dissertations. (AU)
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