We present Jade, a differentiable physics engine for articulated rigid
b...
We present ClothesNet: a large-scale dataset of 3D clothes objects with
...
Robotic dexterous grasping is a challenging problem due to the high degr...
Part assembly is a typical but challenging task in robotics, where robot...
Building general-purpose robots to perform an enormous amount of tasks i...
In this paper, we explore whether a robot can learn to regrasp a diverse...
In this paper, we explore whether a robot can learn to hang arbitrary ob...
Deep reinforcement learning (DRL) algorithms have successfully been
demo...
Autonomous part assembly is a challenging yet crucial task in 3D compute...
The ability to perform in-hand manipulation still remains an unsolved
pr...
Autonomous assembly is a crucial capability for robots in many applicati...
Learning contact-rich, robotic manipulation skills is a challenging prob...
To achieve a successful grasp, gripper attributes including geometry and...
Endowing robots with human-like physical reasoning abilities remains
cha...
We propose a method for instance-level segmentation that uses RGB-D data...
Given two consecutive RGB-D images, we propose a model that estimates a ...
We introduce a large-scale 3D shape understanding benchmark using data a...