Multi-finger grasping relies on high quality training data, which is har...
The study of hand-object interaction requires generating viable grasp po...
Robotic assembly is one of the oldest and most challenging applications ...
Deep reinforcement learning can generate complex control policies, but
r...
Robotic grasping of 3D deformable objects (e.g., fruits/vegetables, inte...
Robotic cutting of soft materials is critical for applications such as f...
Isaac Gym offers a high performance learning platform to train policies ...
Robotic grasping of 3D deformable objects (e.g., fruits/vegetables, inte...
Robotic cutting of soft materials is critical for applications such as f...
Tactile sensing is critical for robotic grasping and manipulation of obj...
We present a framework for the simulation of rigid and deformable bodies...
We extend the formulation of position-based rods to include elastic
volu...
In this work we present a framework that is capable of accurately
repres...
Most Deep Reinforcement Learning (Deep RL) algorithms require a prohibit...
We consider the problem of transferring policies to the real world by
tr...