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Machine Learning and Applications for Robotics in Smart Environments

Grant number: 17/02377-5
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): April 01, 2017
Effective date (End): April 08, 2021
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal researcher:Roseli Aparecida Francelin Romero
Grantee:Caetano Mazzoni Ranieri
Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated scholarship(s):18/25902-0 - Machine learning for help unveiling neural correlates of Parkinson's Disease, BE.EP.DR


Home automation projects have been developed for some time, having evolved into the so-called smart environments. These environments are characterized by the presence of sets of sensors and actuators connected according to the concept of Internet of Things (IoT), in order to respond appropriately and proactively to different situations. The integration of intelligent environments with robots produces the concept of robotic ecologies, capable of performing tasks with greater flexibility and less mechanical complexity than traditional monolithic robots. This project aims to contribute to the construction of an architecture for robotics in intelligent environments, under development by the Robots Learning Lab (LAR) of ICMC-USP. Focus will be given to the evolution of machine learning techniques, mainly for human activity recognition. Different configurations will be considered, in order to produce an adaptable module. An application scenario will be implemented in a physical environment, so that the developed module could be evaluated in practical situations, including in terms of human-robot interaction. It is expected to evolve the state of the art both in the application of learning techniques and in the constructive aspects of architectures for robotics in intelligent environments.

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
PIMENTEL, JHIELSON M.; MOIOLI, RENAN C.; DE ARAUJO, MARIANA F. P.; RANIERI, CAETANO M.; ROMERO, ROSELI A. F.; BROZ, FRANK; VARGAS, PATRICIA A. Neuro4PD: An Initial Neurorobotics Model of Parkinson's Disease. FRONTIERS IN NEUROROBOTICS, v. 15, JUL 1 2021. Web of Science Citations: 0.
RANIERI, CAETANO MAZZONI; MACLEOD, SCOTT; DRAGONE, MAURO; VARGAS, PATRICIA AMANCIO; ROMERO, ROSELI APARECIDA FRANCELIN. Activity Recognition for Ambient Assisted Living with Videos, Inertial Units and Ambient Sensors. SENSORS, v. 21, n. 3 FEB 2021. Web of Science Citations: 0.
RANIERI, CAETANO M.; PIMENTEL, JHIELSON M.; ROMANO, MARCELO R.; ELIAS, LEONARDO A.; ROMERO, ROSELI A. F.; LONES, MICHAEL A.; ARAUJO, MARIANA F. P.; VARGAS, PATRICIA A.; MOIOLI, RENAN C. A Data-Driven Biophysical Computational Model of Parkinson's Disease Based on Marmoset Monkeys. IEEE ACCESS, v. 9, p. 122548-122567, 2021. Web of Science Citations: 0.
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
RANIERI, Caetano Mazzoni. Activity recognition and bioinspired approaches for robotics in intelligent environments. 2021. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.

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