Object Representations for Learning and Reasoning

Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS)

December 11, 2020, Virtual Workshop

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Abstract

Reasoning about objects is a fundamental task in robot manipulation. Different representations can have important repercussions on the capabilities and generality of a manipulation system. In this talk I will discuss different ways we represent and reason about objects, ranging from explicit 3D models to raw point clouds.