Learning affordances in object-centric generative models

Given visual observations of a reaching task together with a stick-like tool, we propose a novel approach that learns to exploit task-relevant object affordances by combining generative modelling with a task-based performance predictor. The embedding learned by the generative model captures the fact...

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Những tác giả chính: Wu, Y, Kasewa, S, Groth, O, Salter, S, Sun, L, Parker Jones, O, Posner, H
Định dạng: Conference item
Ngôn ngữ:English
Được phát hành: International Conference on Machine Learning 2020