Recent progress in deep learning highlights the tremendous potential of
...
In this paper, we study the problem of enabling a vision-based robotic
m...
Robot learning holds the promise of learning policies that generalize
br...
A generalist robot must be able to complete a variety of tasks in its
en...
The ability to predict and plan into the future is fundamental for agent...
Incorporating touch as a sensing modality for robots can enable finer an...
Robot learning has emerged as a promising tool for taming the complexity...
Machine learning techniques have enabled robots to learn narrow, yet com...
Touch sensing is widely acknowledged to be important for dexterous robot...
Deep reinforcement learning (RL) algorithms can learn complex robotic sk...
Prediction is an appealing objective for self-supervised learning of
beh...
Prediction is arguably one of the most basic functions of an intelligent...
Being able to predict what may happen in the future requires an in-depth...
In order to autonomously learn wide repertoires of complex skills, robot...