Abstract Automated Planning and Scheduling is among the growing areas in Artificial
Intelligence (AI) where mention of LLMs has gained popularity. Based on a comprehensive …

Since the emergence of ChatGPT, research on large language models (LLMs) has actively
progressed across various fields. LLMs, pre-trained on vast text datasets, have exhibited …

The recent introduction of large language models (LLMs) has revolutionized the field of
robotics by enabling contextual reasoning and intuitive human-robot interaction in domains …

Self-adaptive systems (SASs) are designed to handle changes and uncertainties through a
feedback loop with four core functionalities: monitoring, analyzing, planning, and execution …

This paper addresses task planning problems for language-instructed robot teams. Tasks
are expressed in natural language (NL), requiring the robots to apply their capabilities (eg …

Large Language Models (LLMs) and Visual Language Models (VLMs) are attracting
increasing interest due to their improving performance and applications across various …

Construction robots have gained significant traction in recent years in research and
development. However, the application of industrial robots has unique challenges. Dynamic …

This article presents xFLIE, a fully integrated 3D hierarchical scene graph based
autonomous inspection architecture. Specifically, we present a tightly-coupled solution of …

We develop a hierarchical LLM-task-motion planning and replanning framework to efficiently
ground an abstracted human command into tangible Autonomous Underwater Vehicle …

Recent advances in Large Language Models (LLMs) are fostering their integration into
several reasoning-related fields, including Automated Planning (AP). However, their …