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cs.CV2024
Evaluating Vision-Language Models as Evaluators in Path Planning
Mohamed Aghzal, Xiang Yue, Erion Plaku +1
Despite their promise to perform complex reasoning, large language models (LLMs) have been shown to have limited effectiveness in end-to-end planning. This has inspired an intrigui…
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…