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Found 3 papers, 2 papers with code
TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors
We introduce TIDEE, an embodied agent that tidies up a disordered scene based on learned commonsense object placement and room arrangement priors.
Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping
We propose to leverage multiview data of \textit{static points} in arbitrary scenes (static or dynamic), to learn a neural 3D mapping module which produces features that are correspondable across time.
Anticipation in Human-Robot Cooperation: A Recurrent Neural Network Approach for Multiple Action Sequences Prediction
Recent approaches based on neural networks have led to encouraging results in the human action prediction problem both in continuous and discrete spaces.
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