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A low-cost human-robot negotiation system

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Resumo:In this paper we present a platform composed of a low-cost robot and a multi-agent system that uses deep learning algorithms, whose objective is to establish a negotiation process and persuasively sell items, maximising their price, thus gain. To this, we have focused on developing an interactive process that is able to interact with humans using a camera, microphone and speaker, to establish all negotiation process without physical contact. This is relevant due to the current COVID-19 situation and arisen issues of human contact. Validation processes with university students have revealed high interest and success in products’ negotiation.
Autores principais:Rincon, Jaime Andres
Outros Autores:Costa, Ângelo Gonçalo Araújo Silva; Julian, Vicente; Carrascosa, Carlos; Novais, Paulo
Assunto:Assistant robot Automated negotiation EDGE AI Emotion detection
Ano:2021
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso restrito
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho

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