We introduce Equivariant Neural Field Expectation Maximization (EFEM), a...
This paper presents an approach to estimating the continuous 6-DoF pose ...
We consider the problem of Vision-and-Language Navigation (VLN). The maj...
We consider the problems of exploration and point-goal navigation in
pre...
Robot learning holds the promise of learning policies that generalize
br...
We consider the problem of object goal navigation in unseen environments...
In order to interact with the world, agents must be able to predict the
...
We propose a framework for deformable linear object prediction. Predicti...
Reinforcement learning is a powerful framework for robots to acquire ski...
Good prediction is necessary for autonomous robotics to make informed
de...
This paper solves the planar navigation problem by recourse to an online...
Learning predictive models from interaction with the world allows an age...
Robot learning has emerged as a promising tool for taming the complexity...