Emanuele Musumeci
Instruction
I have a Master's Degree in Artificial Intelligence and Robotics and a Bachelor's Degree in Computer and Automation Engineering at Sapienza University of Rome, both cum laude (110/110 cum laude).
Esperienze
Currently enrolled in the 40th National PhD in AI at Sapienza University of Rome, under the supervision of Prof. Daniele Nardi, my research focuses on Artificial Intelligence systems that involve Large Language Models (LLMs) as sources of Commonsense Knowledge for purposes regarding the generation of plans and strategies for robotic agents.
The objective of my work is to improve the usability, safety and scalability of Commonsense Knowledge, extracted through Multi-Modal LLMs, opening the way to more adaptable Artificial Intelligence systems, capable of reasoning in more effective unstructured environments.
Interests
- Multi-Modal Large Language Models (MMLLM)
- Symbolic Planning
- Autonomous Reasoning
- Knowledge Graphs
Membro di
Ultime pubblicazioni
| LLM Based Multi-agent Generation of Semi-structured Documents from Semantic Templates in the Public Administration Domain on LLM Based Multi-agent Generation of Semi-structured Documents from Semantic Templates in the Public Administration Domain | 2024 |
| Play Everywhere: A Temporal Logic based Game Environment Independent Approach for Playing Soccer with Robots on Lecture notes in computer science - RoboCup 2023: Robot World Cup XXVI | 2023 |
| Adaptive Team Behavior Planning using Human Coach Commands on Lecture notes in computer science (lncs, volume 13561) | 2022 |