We present a coordinated autonomy pipeline for multi-sensor exploration of confined
environments. We simultaneously address four broad challenges that are typically …

The increased popularity of Behavior Trees (BTs) in different fields of robotics requires
efficient methods for learning BTs from data instead of tediously handcrafting them. Recent …

In modern industrial collaborative robotic applications, it is desirable to create robot
programs automatically, intuitively, and time-efficiently. Moreover, robots need to be …

Behavior trees (BTs) are increasingly popular in the robotics community. Yet in the growing
body of published work on this topic, there is a lack of consensus on what to measure and …

This paper presents an innovative exploration of the application potential of large language
models (LLM) in addressing the challenging task of automatically generating behavior trees …

In recent years, robots are used in an increasing variety of tasks, especially by small-and
medium sized enterprises. These tasks are usually fast-changing, they have a collaborative …

We propose a decentralised multi-robot coordination algorithm that features a rich
representation for encoding and communicating each robot's intent. This representation for …

One of the difficulties of using AI planners in industrial applications pertains to the complexity
of writing planning domain models. These models are typically constructed by domain …

The widespread application of behavior trees in modeling complex robotic tasks can
attribute to their modularity and reusability. Nonetheless, the selection of required behavior …

It is a great challenging but solvable task in an actual robot confrontation: how to effectively
pursue the target robot. In this paper, a maximized entropy-based deep reinforcement …