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10/21/2022
Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation
We present a novel approach to path planning for robotic manipulators, i...
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05/02/2022
VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation
Quadruped locomotion is rapidly maturing to a degree where robots now ro...
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12/09/2021
Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion
Quadruped locomotion is rapidly maturing to a degree where robots now ro...
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07/05/2021
Universal Approximation of Functions on Sets
Modelling functions of sets, or equivalently, permutation-invariant func...
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05/31/2021
APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation
Recent advances in unsupervised learning for object detection, segmentat...
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04/20/2021
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
Advances in object-centric generative models (OCGMs) have culminated in ...
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07/13/2020
Reconstruction Bottlenecks in Object-Centric Generative Models
A range of methods with suitable inductive biases exist to learn interpr...
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07/03/2020
First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion
Traditional approaches to quadruped control frequently employ simplified...
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07/02/2020
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces
We present RELATE, a model that learns to generate physically plausible ...
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07/30/2019
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
Generative models are emerging as promising tools in robotics and reinfo...
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01/25/2019
On the Limitations of Representing Functions on Sets
Recent work on the representation of functions on sets has considered th...
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11/28/2017
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
Convolutional networks are the de-facto standard for analyzing spatio-te...
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10/17/2017
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
We introduce a large-scale 3D shape understanding benchmark using data a...
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09/21/2016