BRILLO: A Robotic Architecture for Personalised Long-lasting Interactions in a Bartending Domain

Author(s):  
Alessandra Rossi ◽  
Mariacarla Staffa ◽  
Antonio Origlia ◽  
Maria di Maro ◽  
Silvia Rossi
Keyword(s):  
1991 ◽  
Author(s):  
Richard P. Smurlo ◽  
Robin T. Laird
Keyword(s):  

Author(s):  
J.C. Avila-Vilchis ◽  
A.H. Vilchis-Gonzalez ◽  
R.G. Estrada-Flores
Keyword(s):  

2013 ◽  
pp. 231-256
Author(s):  
Renato Ramos da Silva ◽  
Roseli Aparecida Francelin Romero

Computer vision is essential to develop a social robotic system capable to interact with humans. It is responsible to extract and represent the information around the robot. Furthermore, a learning mechanism, to select correctly an action to be executed in the environment, pro-active mechanism, to engage in an interaction, and voice mechanism, are indispensable to develop a social robot. All these mechanisms together provide a robot emulate some human behavior, like shared attention. Then, this chapter presents a robotic architecture that is composed with such mechanisms to make possible interactions between a robotic head with a caregiver, through of the shared attention learning with identification of some objects.


2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Yongli Feng ◽  
Qingxuan Jia ◽  
Wei Wei

Robot-assisted intervention has been successfully applied to the education and training of children with autism spectrum disorders. However, it is necessary to increase the autonomy of the robot to reduce the burden on the human therapists. This paper focuses on proposing a robotic architecture to improve the autonomy of the robot in the course of the interaction between the robot and the child with autism. Following the model of perception-cognition-action, the architecture also incorporates some of the concepts of traditional autism intervention approach and the human cognitive model. The details of the robotic architecture are described in this paper, and in the end, a typical scenario is used to verify the proposed method.


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