4 citations · 4 across the 2 of their papers we have counts for
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cs.RO2024
MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics?
Jinming Li, Yichen Zhu, Zhiyuan Xu +7
It is fundamentally challenging for robots to serve as useful assistants in human environments because this requires addressing a spectrum of sub-problems across robotics, includin…
cs.RO2024★ 4 cited
A Survey on Robotics with Foundation Models: toward Embodied AI
Zhiyuan Xu, Kun Wu, Junjie Wen +4
While the exploration for embodied AI has spanned multiple decades, it remains a persistent challenge to endow agents with human-level intelligence, including perception, learning,…
cs.RO2023
Large Language Models for Robotics: A Survey
Fanlong Zeng, Wensheng Gan, Zezheng Huai +5
The human ability to learn, generalize, and control complex manipulation tasks through multi-modality feedback suggests a unique capability, which we refer to as dexterity intellig…