Deep neural networks (DNNs) have been successfully applied to a great variety of
applications, ranging from small IoT devices to large scale services in a data center. In order …

This research addresses the rapid aging phenomenon prevalent in Asian societies, which
has led to a significant increase in elderly individuals relocating to nursing homes due to …

Interdisciplinary research, drawing from robotics, artificial intelligence, neuroscience,
psychology, and cognitive science, is a cornerstone to advance the state-of-the-art in …

Improving the interaction between artificial systems and their users is an important issue in
artificial intelligence. In current trends in social robotics, this is accomplished by making such …

Robotic platforms that can efficiently collaborate with humans in physical tasks constitute a
major goal in robotics. However, many existing robotic platforms are either designed for …

Current Humanoid Service Robot (HSR) behaviours mainly rely on static models that cannot
adapt dynamically to meet individual customer attitudes and preferences. In this work, we …

In recent years, machine learning (ML) has been revolutionizing biology, biomedical
sciences, and gene‐based agricultural technology capabilities. Massive data generated in …

Humans are generally good at recognising emotions which are portrayed on another
person's face. Can the same be said for machines? In recent years, there has been a …

The design of neuromorphic chips aims to develop electronic circuits dedicated to executing
artificial neural networks, mainly by exploring parallel processing. Unsupervised learning …

The reproduction of another individual's emotions in the self—the embodiment of perceived
emotions—has been demonstrated to constitute one mechanism for emotional information …