Open-ended learning benefits immensely from the use of symbolic methods ...
Open-ended learning benefits immensely from the use of symbolic methods ...
Generally, Human Activity Recognition (HAR) consists of monitoring and
a...
Long Short Term Memory LSTM-based structures have demonstrated their
eff...
The rising number of the elderly incurs growing concern about healthcare...
Recent advances in Internet of Things (IoT) technologies and the reducti...
In open-ended continuous environments, robots need to learn multiple
par...
To be capable of lifelong learning in a real-life environment, robots ha...
With the outlook of improving communication and social abilities of peop...
Autism spectrum disorder is a neurodevelopmental condition that includes...
Previous studies have suggested that being imitated by an adult is an
ef...
Assistive robotics and particularly robot coaches may be very helpful fo...
Assistive robotics and particularly robot coaches may be very helpful fo...
This paper presents a technical approach to robot learning of motor skil...
We present an active learning architecture that allows a robot to active...
To study the preference of infants for contingency of movements and
fami...
This paper studies the coupling of internally guided learning and social...
This paper presents an algorithm for learning a highly redundant inverse...