most citedMLLM-Search: A Zero-Shot Approach to Finding People using Multimodal Large Language Models

2 citations · 2 across the 1 of their papers we have counts for

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cs.RO2025

Embodied AI with Foundation Models for Mobile Service Robots: A Systematic Review

Matthew Lisondra, Beno Benhabib, Goldie Nejat

Rapid advancements in foundation models, including Large Language Models, Vision-Language Models, Multimodal Large Language Models, and Vision-Language-Action Models, have opened n…

cs.RO2024★ 2 cited

MLLM-Search: A Zero-Shot Approach to Finding People using Multimodal Large Language Models

Angus Fung, Aaron Hao Tan, Haitong Wang +2

Robotic search of people in human-centered environments, including healthcare settings, is challenging as autonomous robots need to locate people without complete or any prior know…