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Found 7 papers, 4 papers with code
Equivariant Representation Learning via Class-Pose Decomposition
We introduce a general method for learning representations that are equivariant to symmetries of data.
Active Nearest Neighbor Regression Through Delaunay Refinement
We introduce an algorithm for active function approximation based on nearest neighbor regression.
Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects
In an ablation study, we show the benefits of the two-stage model for single time step prediction and the effectiveness of the mixed-horizon model for long-term prediction tasks.
Robotics
Sequential Topological Representations for Predictive Models of Deformable Objects
Deformable objects present a formidable challenge for robotic manipulation due to the lack of canonical low-dimensional representations and the difficulty of capturing, predicting, and controlling such objects.
Witness Autoencoder: Shaping the Latent Space with Witness Complexes
We present a Witness Autoencoder (W-AE) – an autoencoder that captures geodesic distances of the data in the latent space.
Fashion Landmark Detection and Category Classification for Robotics
Research on automated, image based identification of clothing categories and fashion landmarks has recently gained significant interest due to its potential impact on areas such as robotic clothing manipulation, automated clothes sorting and recycling, and online shopping.
Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation
We present a framework for visual action planning of complex manipulation tasks with high-dimensional state spaces such as manipulation of deformable objects.
