An Interactive Multisensing Framework for Personalized Human Robot Collaboration and Assistive Training Using Reinforcement Learning

Printer-friendly versionSend by email
Conference Proceedings (fully refereed)
21
6
2017
Tsiakas
Tsiakas, K., Papakostas, M., Theofanidis, M., Bell, M., Mihalcea, R., Wang, S., Burzo, M. & Makedon, F.
There is a recent trend of research and applications of Cyber-Physical Systems (CPS) in manufacturing to enhance human-robot collaboration and production. In this paper, we propose a CPS framework for personalized Human-Robot Collaboration and Training to promote safe human-robot collaboration in manufacturing environments. We propose a human-centric CPS approach that focuses on multimodal human behavior monitoring and assessment, to promote human worker safety and enable human training in Human-Robot Collaboration tasks. We present the architecture of our proposed system, our experimental testbed and our proposed methods for multimodal physiological sensing, human state monitoring and interactive robot adaptation, to enable personalized interaction.
Software and Knowledge Engineering Laboratory (SKEL)
Conference Short Name: 
PETRA 2017
Conference Full Name: 
10th International Conference on PErvasive Technologies Related to Assistive Environments
Conference Country: 
GR:Greece
Conference City: 
Island of Rhodes
Conference Date(s): 
Wed, 21/06/2017 - Fri, 23/06/2017
Conference Level: 
International
Publisher: 
ACM
Page Start: 
423
Page End: 
427

© 2018 - Institute of Informatics and Telecommunications | National Centre for Scientific Research "Demokritos"