Foundation Models for Autonomous Robots in Unstructured Environments

H Naderi, A Shojaei, L Huang - arxiv preprint arxiv:2407.14296, 2024 - arxiv.org
Automating activities through robots in unstructured environments, such as construction
sites, has been a long-standing desire. However, the high degree of unpredictable events in …

Harnessing Large Language Models for Disaster Management: A Survey

Z Lei, Y Dong, W Li, R Ding, Q Wang, J Li - arxiv preprint arxiv …, 2025 - arxiv.org
Large language models (LLMs) have revolutionized scientific research with their exceptional
capabilities and transformed various fields. Among their practical applications, LLMs have …

Improving VQA Counting Accuracy for Post-Flood Damage Assessment

S Nedevschi - 2024 IEEE 20th International Conference on …, 2024 - ieeexplore.ieee.org
Flood disasters cause significant damage and loss of life globally, demanding efficient
disaster response mechanisms. Visual Question Answering (VQA) systems, which integrate …

Reducing Hallucinations: Enhancing VQA for Flood Disaster Damage Assessment with Visual Contexts

Y Sun, C Wang, Y Peng - … of the International Conference on Algorithms …, 2024 - dl.acm.org
The zero-shot performance of visual question answering (VQA) models relies heavily on
prompts. For example, a zero-shot VQA for disaster scenarios could leverage well-designed …