Autonomous robots are increasingly served in real-world unstructured human environments
with complex long-horizon tasks, such as restaurant serving and office delivery. Task and …

There is a growing interest in Behavior Trees (BTs) as a tool to describe and implement
robot behaviors. BTs were devised in the video game industry and their adoption in robotics …

The rise of mass production and the resulting accumulation of end-of-life (EoL) products
present a growing challenge in waste management and highlight the need for efficient …

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

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

This paper introduces LLM-MARS, first technology that utilizes a Large Language Model
based Artificial Intelligence for Multi-Agent Robot Systems. LLM-MARS enables dynamic …

Software architectures for autonomous systems are generally structured with 3 layers: a
decisional layer managing autonomous reasoning, a functional layer managing reactive …

In this article, we propose a hybrid combination of active inference and behavior trees (BTs)
for reactive action planning and execution in dynamic environments, showing how robotic …

Robotic assembly tasks are open challenges due to the long task horizon and complex part
relations. Behavior trees (BTs) are increasingly used in robot task planning for their …

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