This paper delves into the potential of Large Language Model (LLM) agents for industrial
robotics, with an emphasis on autonomous design, decision-making, and task execution …

Autonomous robots combine skills to form increasingly complex behaviors, called missions.
While skills are often programmed at a relatively low abstraction level, their coordination is …

Facility inspection is crucial for ensuring the performance of built assets. A traditional
inspection, characterized by humans' physical presence, is laborious, time-consuming, and …

The need for autonomous robot systems in both the service and the industrial domain is
larger than ever. In the latter, the transition to small batches or even “batch size 1” in …

The requirement of flexibility in the modern industries demands robots that can be efficiently
and quickly adapted to different tasks. A way to achieve such a flexible programming …

Behavior Trees are a promising approach to model the autonomous behaviour of robots in
dynamic environments. Behavior Trees represent action selection decisions as a tree of …

Robotic systems are becoming pervasive and adopted in increasingly many domains, such
as manufacturing, healthcare, and space exploration. To this end, engineering software has …

Autonomous robots need to plan the tasks they carry out to fulfill their missions. The
missions' increasing complexity does not let human designers anticipate all the possible …

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

Combining symbolic and geometric reasoning in multiagent systems is a challenging task
that involves planning, scheduling, and synchronization problems. Existing works …