Advanced search
Start date
Betweenand

Long-term interaction for interactive behavior learning using deep reinforcement learning

Grant number: 18/25782-5
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): November 01, 2019
Effective date (End): September 30, 2022
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal researcher:Roseli Aparecida Francelin Romero
Grantee:José Pedro Ribeiro Belo
Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

Social robotics represents a branch of human-robot interaction that aims to develop robots to work in unstructured environments in direct partnership with humans. Social robots are expected to have the ability to interact with humans by understanding social cues and responding appropriately in order to promote a natural and socially acceptable interaction between humans and robots. The aim of this thesis is the elaboration of a module for social robots capable of automatically learning the interactive behaviors of human beings and, from this, reacting in a natural and appropriate way to these behaviors. To achieve this goal, deep reinforcement learning techniques will be explored, as well as specific aspects of long-term interaction that will allow the robot to memorize past interactions. In addition, the system will be added to the Cognitive Model Development Environment (CMDE) architecture, developed at the Robot Learning Laboratory (LAR) of USP-São Carlos, aimed at modeling applications involving social robotics. In this way, this thesis contributes to the architecture by adding a learning module of interactive behaviors. In addition, the validation of the system will be done through an application that allows a long-term analysis, that is, long-term interaction with the robot, which will store interactions and actions performed, associated with human recognition. (AU)

News published in Agência FAPESP Newsletter about the scholarship:
Articles published in other media outlets (0 total):
More itemsLess items
VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)

Please report errors in scientific publications list by writing to: cdi@fapesp.br.