vidhiJain/SpatialEmbeddings
Learning Embeddings that Capture Spatial Semantics for Indoor Navigation, NeurIPS ORLR 2020
This project helps roboticists and AI researchers develop embodied AI agents capable of smart indoor navigation. It takes common object names and spatial relationships to create an 'understanding' of where things are likely to be found. The output helps an AI agent search for objects more intelligently and efficiently in complex indoor environments, similar to how a human would.
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Use this if you are developing AI agents or robots that need to efficiently find specific objects within indoor settings like homes or offices, by leveraging semantic spatial awareness.
Not ideal if your navigation task involves outdoor environments, abstract objects, or relies purely on geometric pathfinding without semantic object knowledge.
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Dec 23, 2020
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