Skill-based anytime agent architecture for logistics and manipulation tasks: EuRoC Challenge 2, Stage II - Realistic Labs: Benchmarking

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

Autores

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

Ata de Conferência Internacional

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

Páginas: 198-203

Indexação

Scopus - 8 Citações

Outras Informações

ID Authenticus: P-00M-YKC

DOI: 10.1109/icarsc.2017.7964075

Abstract (EN): Nowadays, the increase of robotic technology application to industry scenarios is notorious. Proposals for new effective solutions are in continuous development once industry needs a constantly improvement in time as well as in production quality and efficiency. The EuRoC research project proposes a scientific competition in which research and industry manufacturers joint teams are encouraged to develop and test solutions that can solve several issues as well as be useful in manufacturing improvement. This paper presents the TIMAIRIS architecture and approach used in the Challenge 2 - Stage II - Benchmarking phase, namely regarding the perception, manipulation and planning strategy that was applied to achieve the tasks objectives. The used approach proved to be quite robust and efficient, which allowed us to rank first in the Benchmarking phase. © 2017 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica