A Taxonomy in Robot-Assisted Training: Current Trends, Needs and Challenges†
AbstractIn this article, we present a taxonomy in Robot-Assisted Training; a growing body of research in Human–Robot Interaction which focuses on how robotic agents and devices can be used to enhance user’s performance during a cognitive or physical training task. Robot-Assisted Training systems have been successfully deployed to enhance the effects of a training session in various contexts, i.e., rehabilitation systems, educational environments, vocational settings, etc. The proposed taxonomy suggests a set of categories and parameters that can be used to characterize such systems, considering the current research trends and needs for the design, development and evaluation of Robot-Assisted Training systems. To this end, we review recent works and applications in Robot-Assisted Training systems, as well as related taxonomies in Human–Robot Interaction. The goal is to identify and discuss open challenges, highlighting the different aspects of a Robot-Assisted Training system, considering both robot perception and behavior control. View Full-Text
Share & Cite This Article
Tsiakas, K.; Kyrarini, M.; Karkaletsis, V.; Makedon, F.; Korn, O. A Taxonomy in Robot-Assisted Training: Current Trends, Needs and Challenges. Technologies 2018, 6, 119.
Tsiakas K, Kyrarini M, Karkaletsis V, Makedon F, Korn O. A Taxonomy in Robot-Assisted Training: Current Trends, Needs and Challenges. Technologies. 2018; 6(4):119.Chicago/Turabian Style
Tsiakas, Konstantinos; Kyrarini, Maria; Karkaletsis, Vangelis; Makedon, Fillia; Korn, Oliver. 2018. "A Taxonomy in Robot-Assisted Training: Current Trends, Needs and Challenges." Technologies 6, no. 4: 119.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.