Deep neural networks are susceptible to generating overconfident yet
err...
We propose a new 6-DoF grasp pose synthesis approach from 2D/2.5D input ...
We present a parallelized optimization method based on fast Neural Radia...
Great success has been achieved in the 6-DoF grasp learning from the poi...
We propose a single-stage, category-level 6-DoF pose estimation algorith...
This paper investigates robot manipulation based on human instruction wi...
Shape informs how an object should be grasped, both in terms of where an...
Prior work on 6-DoF object pose estimation has largely focused on
instan...
We present a Python-based renderer built on NVIDIA's OptiX ray tracing e...
We consider the task of grasping a target object based on a natural lang...
We present a system for multi-level scene awareness for robotic manipula...
Cellular vehicle-to-everything (C-V2X) communication, as a part of 5G
wi...
A segmentation-based architecture is proposed to decompose objects into
...