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Planning for Multi-Object Manipulation with Graph Neural Network Relational Classifiers

A graph neural network approach to multi-object manipulation from partial-view point clouds.

Yixuan Huang, Adam Conkey, Tucker Hermans

Planning for Multi-Object Manipulation with Graph Neural Network Relational Classifiers

Active Learning of Probabilistic Movement Primitives

An active learning approach to learning a library of Probabilistic Movement Primitives capable of generalizing over a bounded space.

Adam Conkey, Tucker Hermans

Active Learning of Probabilistic Movement Primitives

Learning Task Constraints from Demonstration for Hybrid Force/Position Control

An apporach to learning a dynamic constraint frame from demonstration for hybrid force/position control using Cartesian Dynamic Movement Primitives.

Adam Conkey, Tucker Hermans

Learning Task Constraints from Demonstration for Hybrid Force/Position Control