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 …

In this article, we provide a control-theoretic perspective on the research area of behavior
trees in robotics. The key idea underlying behavior trees is to make use of modularity …

The safety of autonomous driving systems (ADS) has been attracting extensive attentions of
research and practice worldwide. One major concern on the existing ADS is the failure to …

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 …

In this paper we provide a practical demonstration of how the modularity in a Behavior Tree
(BT) decreases the effort in programming a robot task when compared to a Finite State …

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 …

This article addresses the concurrency issues affecting behavior trees (BTs), a popular tool
to model the behaviors of autonomous agents in the video game and the robotics industry …

The usage of Large Language Models (LLMs) has increased recently, not only due to the
significant improvements in their accuracy but also because of the use of the quantization …

Door-traversal research has been intensively studied. The challenge of the door traversal
problem is derived from the requirement of the mobile manipulator robot to regulate the …

Any service robot should be able to make decisions and schedule tasks to reach predefined
goals such as opening a door or assisting users at home. However, these processes are not …