Cooperative human-machine interaction in industrial environments

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

Liliana Antão (Author) Other; Rui Pinto (Author) Other; João Reis (Author) Other; Gil Gonçalves (Author) Other; Fernando Lobo Pereira (Author) FEUP

Conference proceedings International

Title: Proceedings of the 2018 13th APCA International Conference on Control and Soft Computing (CONTROLO)

Pages: 430-435

Indexing

ISI Web of Science

Scopus - 3 Citations

INSPEC

Other information

Authenticus ID: P-00P-YAC

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. © 2018 IEEE.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6