Cooperative Human-Machine Interaction in Industrial Environments

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2018

Autores

Liliana Antão (Autor) Outra; Rui Pinto (Autor) Outra; João Reis (Autor) Outra; Gil Gonçalves (Autor) FEUP; Fernando Lobo Pereira (Autor) FEUP

Ata de Conferência Internacional

Título: 2018 13TH APCA INTERNATIONAL CONFERENCE ON CONTROL AND SOFT COMPUTING (CONTROLO)

Páginas: 430-435

13th APCA International Conference on Control and Soft Computing (CONTROLO)

Univ Azores, Ponta Delgada, PORTUGAL, JUN 04-06, 2018

Indexação

ISI Web of Knowledge - 5 Citações

Scopus

INSPEC

Outras Informações

ID Authenticus: P-00P-Z88

DOI: 10.1109/CONTROLO.2018.8514549

Abstract (EN): Recently, the concept of Human-centered automation is adopted in Human-Robot Collaboration (HRC) scenarios, where interactive manufacturing systems are designed to emphasize human activities, by relating them with Cyber-Physical Production Systems (CPPS). This research is focused on self-adaptation of industrial manipulators to the operator's physiological characteristics, which involve the correlation of different biometric signals. A collaborative environment was achieved by implementing a CPPS for this intent. The developed use case scenario consists in a simple manufacturing process, which involves a human operator and a mini robotic arm, in a joint manipulation of objects. The robotic arm assists the human operator regarding task execution, considering the worker's real-time monitoring, regarding stress and fatigue levels and motion tracking. The monitoring of the human operator serves as input for the self-adaptation of the robotic arm, namely task execution's speed, and correct operation. Presented results show that the implemented Fuzzy system can classify stress and fatigue with an accuracy of 87.8% and 74.4% respectively.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6