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07/07/2023
Equivariant Single View Pose Prediction Via Induced and Restricted Representations
Learning about the three-dimensional world from two-dimensional images i...
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06/10/2023
On Robot Grasp Learning Using Equivariant Models
Real-world grasp detection is challenging due to the stochasticity in gr...
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02/27/2023
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction
Predicting the pose of objects from a single image is an important but d...
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07/22/2022
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks
Multi-goal policy learning for robotic manipulation is challenging. Prio...
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07/18/2022
I2I: Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images
Reasoning about 3D objects based on 2D images is challenging due to larg...
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04/24/2022
Learning Symmetric Embeddings for Equivariant World Models
Incorporating symmetries can lead to highly data-efficient and generaliz...
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02/18/2022
Sample Efficient Grasp Learning Using Equivariant Models
In planar grasp detection, the goal is to learn a function from an image...
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01/11/2021
Action Priors for Large Action Spaces in Robotics
In robotics, it is often not possible to learn useful policies using pur...
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03/09/2020
Learning discrete state abstractions with deep variational inference
Abstraction is crucial for effective sequential decision making in domai...
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11/30/2018