In recent years, geoscientists have been employing machine learning techniques to
automate lithological identification by integrating well logging data. However, in geologically …

Lithology identification is of great importance in reservoir characterization. Recently, many
researchers have applied machine-learning techniques to solve lithology identification …

Over the last decade, the use of robots in production and daily life has increased. With
increasingly complex tasks and interaction in different environments including humans …

The variety and complexity of tasks autonomous robots can tackle is constantly increasing,
yet we seldom see robots collaborating with humans. Indeed, humans are either requested …

In recent years there has been an increasing interest in deploying robotic systems in public
environments able to effectively interact with people. To properly work in the wild, such …

A service robot accepting verbal commands from a human operator is likely to encounter
requests that reference objects not currently represented in its knowledge base. In domestic …

Social robotics has recently focused on developing AI agents that recognise and respond to
human emotions. The use of plan-based approaches is promising, especially in domains …

In the modern interactive computing era, computational problems such as scheduling, rout-
ing, sequencing, and resource management are online in nature. In the online framework, at …

It is essential for a collaborative robot to consider the Theory of Mind (ToM) when interacting
with humans. Indeed, performing an action in the absence of another agent may create false …

This paper presents a planning system based on semantic reasoning for a general-purpose
service robot, which is aimed at behaving more intelligently in domains that contain …