39 citations · 54 across the 12 of their papers we have counts for
15 papers
HINT-Plan: Human Intention-Aware Robot Task Planning in Context-Rich Environments using Vision Language Models
Yuchen Liu, Luigi Palmieri, Lujun Li +3
Approaches to incorporating human awareness into mobile robot decision-making mainly focus on collision avoidance in low-level motion planning, often overlooking the challenges pos…
The Need for a Green ICT Reference Framework
Marco Aiello, Mina Alipour, Antonio Brogi +7
The sustainability impacts of ICT systems are difficult to assess and govern due to structural complexity, fragmented measurement practices, and unclear responsibilities across sys…
The Energy Impact of Domain Model Design in Classical Planning
Ilche Georgievski, Serhat Tekin, Marco Aiello
AI research has traditionally prioritised algorithmic performance, such as optimising accuracy in machine learning or runtime in automated planning. The emerging paradigm of Green…
Seeing is Believing (and Predicting): Context-Aware Multi-Human Behavior Prediction with Vision Language Models
Utsav Panchal, Yuchen Liu, Luigi Palmieri +2
Accurately predicting human behaviors is crucial for mobile robots operating in human-populated environments. While prior research primarily focuses on predicting actions in single…
Initial Steps in Integrating Large Reasoning and Action Models for Service Composition
Ilche Georgievski, Marco Aiello
Service composition remains a central challenge in building adaptive and intelligent software systems, often constrained by limited reasoning capabilities or brittle execution mech…
Introduction to AI Planning
Marco Aiello, Ilche Georgievski
These are notes for lectures presented at the University of Stuttgart that provide an introduction to key concepts and techniques in AI Planning. Artificial Intelligence Planning,…
Towards Human Awareness in Robot Task Planning with Large Language Models
Yuchen Liu, Luigi Palmieri, Sebastian Koch +2
The recent breakthroughs in the research on Large Language Models (LLMs) have triggered a transformation across several research domains. Notably, the integration of LLMs has great…
DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models
Yuchen Liu, Luigi Palmieri, Sebastian Koch +2
Recent advancements in Large Language Models (LLMs) have sparked a revolution across many research fields. In robotics, the integration of common-sense knowledge from LLMs into tas…
Understanding Real-World AI Planning Domains: A Conceptual Framework
Ebaa Alnazer, Ilche Georgievski
Planning is a pivotal ability of any intelligent system being developed for real-world applications. AI planning is concerned with researching and developing planning systems that…
Service Composition in the ChatGPT Era
Marco Aiello, Ilche Georgievski
The paper speculates about how ChatGPT-like systems can support the field of automated service composition and identifies new research areas to explore in order to take advantage o…
Risk Awareness in HTN Planning
Ebaa Alnazer, Ilche Georgievski, Marco Aiello
Actual real-world domains are characterised by uncertain situations in which acting and using resources may entail the embracing of risks. Performing actions in such domains involv…
HTN Planning Domain for Deployment of Cloud Applications
Ilche Georgievski
Cloud providers are facing a complex problem in configuring software applications ready for deployment on their infrastructures. Hierarchical Task Network (HTN) planning can provid…
Software Architecture for Next-Generation AI Planning Systems
Sebastian Graef, Ilche Georgievski
Artificial Intelligence (AI) planning is a flourishing research and development discipline that provides powerful tools for searching a course of action that achieves some user goa…
An Overview of Hierarchical Task Network Planning
Ilche Georgievski, Marco Aiello
Hierarchies are the most common structure used to understand the world better. In galaxies, for instance, multiple-star systems are organised in a hierarchical system. Then, govern…
Task Interaction in an HTN Planner
Ilče Georgievski, Alexander Lazovik, Marco Aiello
Hierarchical Task Network (HTN) planning uses task decomposition to plan for an executable sequence of actions as a solution to a problem. In order to reason effectively, an HTN pl…