Performing agile navigation with four-legged robots is a challenging tas...
We present ORBIT, a unified and modular framework for robot learning pow...
The common approach for local navigation on challenging environments wit...
We propose a learning-based method to reconstruct the local terrain for
...
Despite the progress in legged robotic locomotion, autonomous navigation...
In this work, we present and study a training set-up that achieves fast
...
Isaac Gym offers a high performance learning platform to train policies ...
A kitchen assistant needs to operate human-scale objects, such as cabine...
In this work, we present a learning-based pipeline to realise local
navi...
The dominant way to control a robot manipulator uses hand-crafted
differ...
We present a hierarchical framework that combines model-based control an...
Model Predictive Control (MPC) is a powerful control technique that hand...
In this paper, we introduce an actor-critic algorithm called Deep Value ...