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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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06/07/2022
ObPose: Leveraging Canonical Pose for Object-Centric Scene Inference in 3D
We present ObPose, an unsupervised object-centric generative model that ...
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05/27/2022
Generalizing Brain Decoding Across Subjects with Deep Learning
Decoding experimental variables from brain imaging data is gaining popul...
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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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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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11/29/2020
There and Back Again: Learning to Simulate Radar Data for Real-World Applications
Simulating realistic radar data has the potential to significantly accel...
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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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09/30/2019
Imagine That! Leveraging Emergent Affordances for Tool Synthesis in Reaching Tasks
In this paper we investigate an artificial agent's ability to perform ta...
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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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07/12/2019
