UbiSLAM uses fixed RGB-D camera networks to create continuously updated centralized maps that improve robot localization accuracy and reduce onboard computational load in dynamic indoor environments.
IEEE transactions on robotics , volume=
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The paper defines Agent AI as interactive multimodal systems that perceive grounded data and generate embodied actions, arguing this approach can mitigate hallucinations in foundation models.
citing papers explorer
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Towards Ubiquitous Mapping and Localization for Dynamic Indoor Environments
UbiSLAM uses fixed RGB-D camera networks to create continuously updated centralized maps that improve robot localization accuracy and reduce onboard computational load in dynamic indoor environments.
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Agent AI: Surveying the Horizons of Multimodal Interaction
The paper defines Agent AI as interactive multimodal systems that perceive grounded data and generate embodied actions, arguing this approach can mitigate hallucinations in foundation models.