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Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation
This paper introduces Hierarchical Diffusion Policy (HDP), a hierarchical agent for multi-task robotic manipulation.
Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter
Neural fields can be trained from scratch to represent the shape and appearance of 3D scenes efficiently.
ILabel: Interactive Neural Scene Labelling
ILabel's underlying model is a multilayer perceptron (MLP) trained from scratch in real-time to learn a joint neural scene representation.
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