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

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

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

Conference proceedings International

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

Pages: 198-203

Indexing

Scopus - 8 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific