2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AI2025★ 2 cited
A Survey on Large Language Models for Automated Planning
Mohamed Aghzal, Erion Plaku, Gregory J. Stein +1
The planning ability of Large Language Models (LLMs) has garnered increasing attention in recent years due to their remarkable capacity for multi-step reasoning and their ability t…
cs.RO2024
Multi-Goal Motion Memory
Yuanjie Lu, Dibyendu Das, Erion Plaku +1
Autonomous mobile robots (e.g., warehouse logistics robots) often need to traverse complex, obstacle-rich, and changing environments to reach multiple fixed goals (e.g., warehouse…
cs.AI2024
Look Further Ahead: Testing the Limits of GPT-4 in Path Planning
Mohamed Aghzal, Erion Plaku, Ziyu Yao
Large Language Models (LLMs) have shown impressive capabilities across a wide variety of tasks. However, they still face challenges with long-horizon planning. To study this, we pr…