We present the HANDAL dataset for category-level object pose estimation ...
Test-time adaptation methods have been gaining attention recently as a
p...
We present a near real-time method for 6-DoF tracking of an unknown obje...
We present a unified and compact representation for object rendering, 3D...
We present a parallelized optimization method based on fast Neural Radia...
This work aims to learn how to perform complex robot manipulation tasks ...
Promising results have been achieved recently in category-level manipula...
Constraining contacts to remain fixed on an object during manipulation l...
Task-relevant grasping is critical for industrial assembly, where downst...
Tracking the 6D pose of objects in video sequences is important for robo...
Highly constrained manipulation tasks continue to be challenging for
aut...
Tracking the 6D pose of objects in video sequences is important for robo...
Tracking the 6D pose of objects in video sequences is important for robo...
Recent progress in robotic manipulation has dealt with the case of previ...
Many manipulation tasks, such as placement or within-hand manipulation,
...
This paper introduces key machine learning operations that allow the
rea...