Rich and robust human-robot interaction on gesture recognition for assembly tasks

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2017

Autores

Lim, GH (Autor) Outra; Pedrosa, E (Autor) Outra; Amaral, F (Autor) Outra; lau, n (Autor) FCUP; Pereira, A (Autor) Outra; Dias, P (Autor) Outra; Azevedo, JL (Autor) Outra; Cunha, B (Autor) Outra; reis, lp (Autor) REIT

Ata de Conferência Internacional

Título: 2017 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2017, Coimbra, Portugal, April 26-28, 2017

Páginas: 159-164

Indexação

Scopus - 12 Citações

Outras Informações

ID Authenticus: P-00M-YKE

DOI: 10.1109/icarsc.2017.7964069

Abstract (EN): The adoption of robotics technology has the potential to advance quality, efficiency and safety for manufacturing enterprises, in particular small and medium-sized enterprises. This paper presents a human-robot interaction (HRI) system that enables a robot to receive commands, provide information to a human teammate and ask them a favor. In order to build a robust HRI system based on gesture recognition, three key issues are addressed: richness, multiple feature fusion and failure verification. The developed system has been tested and validated in a realistic lab with a real mobile manipulator and a human teammate to solve a puzzle game. © 2017 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica