Machine Learning and Applications for Robotics in Smart Environments

• Grant number: 17/02377-5
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: April 01, 2017
• End date: April 08, 2021
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Roseli Aparecida Francelin Romero
• Grantee: Caetano Mazzoni Ranieri
• Host 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

Abstract

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.

Scientific publications

(9)

(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)

RANIERI, CAETANO M.; NARDARI, GUILHERME; PINTO, ADAM H. M.; TOZADORE, DANIEL C.; ROMERO, ROSELI A. F.; DONASCIMENTO, TP; COLOMBINI, EL; DEBRITO, AV; GARCIA, LTD; SA, STD; et al. LARa: a robotic framework for human-robot interaction on indoor environments. 15TH LATIN AMERICAN ROBOTICS SYMPOSIUM 6TH BRAZILIAN ROBOTICS SYMPOSIUM 9TH WORKSHOP ON ROBOTICS IN EDUCATION (LARS/SBR/WRE 2018), v. N/A, p. 7-pg., 2018-01-01. (14/50851-0, 17/01687-0, 17/02377-5, 17/17444-0)

TOZADORE, DANIEL C.; PINTO, ADAM H. M.; RANIERI, CAETANO M.; BATISTA, MURILLO R.; ROMERO, ROSELI A. F.; TODT, E; TONIDANDEL, F. Tablets and Humanoid Robots as Engaging Platforms for Teaching Languages. 2017 LATIN AMERICAN ROBOTICS SYMPOSIUM (LARS) AND 2017 BRAZILIAN SYMPOSIUM ON ROBOTICS (SBR), v. N/A, p. 6-pg., 2017-01-01. (17/01687-0, 17/02377-5)

TOZADORE, DANIEL C.; RANIERI, CAETANO M.; NARDARI, GUILHERME V.; ROMERO, ROSELI A. F.; GUIZILINI, VITOR C.; IEEE. Effects of Emotion Grouping for Recognition in Human-Robot Interactions. 2018 7TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS), v. N/A, p. 6-pg., 2018-01-01. (17/02377-5, 17/17444-0)

RANIERI, CAETANO M.; VARGAS, PATRICIA A.; ROMERO, ROSELI A. F.; IEEE. Uncovering Human Multimodal Activity Recognition with a Deep Learning Approach. 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), v. N/A, p. 8-pg., 2020-01-01. (17/02377-5, 13/07375-0, 17/01687-0, 18/25902-0)

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. (17/02377-5, 18/25902-0)

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. (17/02377-5, 18/25902-0, 17/01687-0, 13/07375-0)

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. (13/07375-0, 17/02377-5, 18/25902-0, 18/11075-5)

RANIERI, CAETANO M.; MOIOLI, RENAN C.; ROMERO, ROSELI A. F.; DE ARAUJO, MARIANA F. P.; DE SANTANA, MAXWELL BARBOSA; PIMENTEL, JHIELSON M.; VARGAS, PATRICIA A.; IEEE. Unveiling Parkinson's Disease Features from a Primate Model with Deep Neural Networks. 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), v. N/A, p. 8-pg., 2020-01-01. (18/25902-0, 17/02377-5, 13/07375-0)

RANIERI, CAETANO M.; MOIOLI, RENAN C.; VARGAS, PATRICIA A.; ROMERO, ROSELI A. F.. A neurorobotics approach to behaviour selection based on human activity recognition. COGNITIVE NEURODYNAMIC, v. N/A, p. 20-pg., 2022-09-27. (18/25902-0, 21/10921-2, 13/07375-0, 17/02377-5, 17/01687-0)

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.