On the prospects of incorporating large language models (llms) in automated planning and scheduling (aps)
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 …
Intelligence (AI) where mention of LLMs has gained popularity. Based on a comprehensive …
Llm+ p: Empowering large language models with optimal planning proficiency
Large language models (LLMs) have demonstrated remarkable zero-shot generalization
abilities: state-of-the-art chatbots can provide plausible answers to many common questions …
abilities: state-of-the-art chatbots can provide plausible answers to many common questions …
Mathematical language models: A survey
In recent years, there has been remarkable progress in leveraging Language Models (LMs),
encompassing Pre-trained Language Models (PLMs) and Large-scale Language Models …
encompassing Pre-trained Language Models (PLMs) and Large-scale Language Models …
Generative ai for self-adaptive systems: State of the art and research roadmap
Self-adaptive systems (SASs) are designed to handle changes and uncertainties through a
feedback loop with four core functionalities: monitoring, analyzing, planning, and execution …
feedback loop with four core functionalities: monitoring, analyzing, planning, and execution …
Towards testing and evaluating vision-language-action models for robotic manipulation: An empirical study
Multi-modal foundation models and generative AI have demonstrated promising capabilities
in applications across various domains. Recently, Vision-language-action (VLA) models …
in applications across various domains. Recently, Vision-language-action (VLA) models …
Mldt: Multi-level decomposition for complex long-horizon robotic task planning with open-source large language model
In the realm of data-driven AI technology, the application of open-source large language
models (LLMs) in robotic task planning represents a significant milestone. Recent robotic …
models (LLMs) in robotic task planning represents a significant milestone. Recent robotic …
Unlocking Robotic Autonomy: A Survey on the Applications of Foundation Models
The advancement of foundation models, such as large language models (LLMs), vision-
language models (VLMs), diffusion models, and robotics foundation models (RFMs), has …
language models (VLMs), diffusion models, and robotics foundation models (RFMs), has …
LLM as BT-Planner: Leveraging LLMs for Behavior Tree Generation in Robot Task Planning
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 …
relations. Behavior trees (BTs) are increasingly used in robot task planning for their …
NL2Plan: Robust LLM-Driven Planning from Minimal Text Descriptions
E Gestrin, M Kuhlmann, J Seipp - arXiv preprint arXiv:2405.04215, 2024 - arxiv.org
Today's classical planners are powerful, but modeling input tasks in formats such as PDDL
is tedious and error-prone. In contrast, planning with Large Language Models (LLMs) allows …
is tedious and error-prone. In contrast, planning with Large Language Models (LLMs) allows …
[HTML][HTML] OntoGenix: Leveraging Large Language Models for enhanced ontology engineering from datasets
M Val-Calvo, ME Aranguren… - Information Processing …, 2025 - Elsevier
Abstract Knowledge Graphs integrate data from multiple, heterogeneous sources, using
ontologies to facilitate data interoperability. Ontology development is a resource-consuming …
ontologies to facilitate data interoperability. Ontology development is a resource-consuming …