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05/04/2023
Masked Trajectory Models for Prediction, Representation, and Control
We introduce Masked Trajectory Models (MTM) as a generic abstraction for...
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03/31/2023
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
We present the largest and most comprehensive empirical study of pre-tra...
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07/06/2022
Transformers are Adaptable Task Planners
Every home is different, and every person likes things done in their par...
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02/22/2022
Differentiable and Learnable Robot Models
Building differentiable simulations of physical processes has recently r...
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02/25/2021
Efficient and Interpretable Robot Manipulation with Graph Neural Networks
Many manipulation tasks can be naturally cast as a sequence of spatial r...
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03/10/2020
Learning State-Dependent Losses for Inverse Dynamics Learning
Being able to quickly adapt to changes in dynamics is paramount in model...
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01/24/2020
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm
The recursive Newton-Euler Algorithm (RNEA) is a popular technique in ro...
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04/15/2019