3 papers
cs.RO2021
User profile-driven large-scale multi-agent learning from demonstration in federated human-robot collaborative environments
Georgios Th. Papadopoulos, Asterios Leonidis, Margherita Antona +1
Learning from Demonstration (LfD) has been established as the dominant paradigm for efficiently transferring skills from human teachers to robots. In this context, the Federated Le…
cs.RO2020
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning
Georgios Th. Papadopoulos, Margherita Antona, Constantine Stephanidis
Learning from Demonstration (LfD) constitutes one of the most robust methodologies for constructing efficient cognitive robotic systems. Despite the large body of research works al…
cs.CV2020
A Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition
Nikolas Adaloglou, Theocharis Chatzis, Ilias Papastratis +7
In this paper, a comparative experimental assessment of computer vision-based methods for sign language recognition is conducted. By implementing the most recent deep neural networ…