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Robotic software architecture, human-robot interfaces and people's quality of life

Grant number: 12/14043-0
Support Opportunities:Scholarships abroad - Research
Effective date (Start): January 01, 2013
Effective date (End): December 31, 2013
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal Investigator:Josué Junior Guimarães Ramos
Grantee:Josué Junior Guimarães Ramos
Host Investigator: Reid G. Simmons
Host Institution: Centro de Pesquisas Renato Archer (CENPRA). Ministério da Ciência, Tecnologia e Inovação (Brasil). Campinas , SP, Brazil
Research place: Carnegie Mellon University (CMU), United States  
Associated research grant:08/57870-9 - Critical Embedded Systems Institute, AP.TEM

Abstract

Human-Robot Interaction (HRI) besides having potential for economic impact can change the type of relationship we have with machines and it is a growing field of research. Accordingly, several research groups worldwide have addressed aspects of HRI, which seeks to increase the proximity and interaction between machines and human-beings. Thus, an increase of this proximity increases the complexity of robot software that is characterized by the need to achieve targets set at a high level and at the same time be able to react to unexpected situations, reflecting that in the robotic software architecture (RSA). The robotic software architecture (RSA) relates to the way that the robot's control system is organized, that is, how it is divided into sub-systems, how these sub-systems interact, and within these, the way in which events and decisions are handled during robots operation to meet the requirements of complex applications with these characteristics. The State of the Art in ASR are Hybrid architectures that integrate harmoniously deliberative and reactive aspects associated with the implementation of robots actions. This research work aims to address the issues involving the ASRs and their use in applications requiring Human-Robots interfaces and Intelligent Systems, particularly in situations where there is a close interaction human-robot. This requires means to enable the robot to infer more clearly what the human being executed, so that both can perform their actions in a harmonic way. Accordingly, the proposed work will be performed in a group that is addressing this problem for almost a decade, to allow the proponent, who has previous experience in this area, can absorb and use this experience in R & D & I projects requiring similar characteristics in Brazil. (AU)

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