For robots to be useful outside labs and specialized factories we need a...
We present a novel model for Tracking Any Point (TAP) that effectively t...
Dense object tracking, the ability to localize specific object points wi...
Over the past several years there has been a considerable research inves...
A robot's ability to act is fundamentally constrained by what it can
per...
Model-free reinforcement learning algorithms such as Deep Deterministic
...
We present a framework for data-driven robotics that makes use of a larg...
We propose Generative Predecessor Models for Imitation Learning (GPRIL),...
Insertion is a challenging haptic and visual control problem with signif...
Despite significant advances in the field of deep Reinforcement Learning...