research
∙
07/07/2023
Equivariant Single View Pose Prediction Via Induced and Restricted Representations
Learning about the three-dimensional world from two-dimensional images i...
share
research
∙
06/10/2023
On Robot Grasp Learning Using Equivariant Models
Real-world grasp detection is challenging due to the stochasticity in gr...
research
∙
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...
research
∙
07/22/2022
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks
Multi-goal policy learning for robotic manipulation is challenging. Prio...
research
∙
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...
research
∙
04/24/2022
Learning Symmetric Embeddings for Equivariant World Models
Incorporating symmetries can lead to highly data-efficient and generaliz...
research
∙
02/18/2022
Sample Efficient Grasp Learning Using Equivariant Models
In planar grasp detection, the goal is to learn a function from an image...
research
∙
01/11/2021
Action Priors for Large Action Spaces in Robotics
In robotics, it is often not possible to learn useful policies using pur...
research
∙
03/09/2020
Learning discrete state abstractions with deep variational inference
Abstraction is crucial for effective sequential decision making in domai...
research
∙
11/30/2018
