TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Tsiakas, Konstantinos
A1  - Kyrarini, Maria
A1  - Karkaletsis, Vangelis
A1  - Makedon, Fillia
A1  - Korn, Oliver
T1  - A Taxonomy in Robot-Assisted Training: Current Trends, Needs and Challenges
JF  - Technologies
N2  - In 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.
KW  - Robot-Assisted Training
KW  - Human-Robot Interaction
KW  - Taxonomy
KW  - Robotics
KW  - Roboter
Y1  - 2018
UR  - https://www.mdpi.com/2227-7080/6/4/119
UR  - https://www.researchgate.net/publication/329649417
SN  - 2227-7080
SS  - 2227-7080
U6  - https://doi.org/10.3390/technologies6040119
DO  - https://doi.org/10.3390/technologies6040119
N1  - extended version of the paper published in Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, 26–29 June 2018; pp. 208–213
VL  - 6
IS  - 4
SP  - 1
EP  - 19
PB  - MDPI
ER  -