Recent strides in Text-to-3D techniques have been propelled by distillin...
For the SLAM system in robotics and autonomous driving, the accuracy of
...
The recent advancements in image-text diffusion models have stimulated
r...
In this paper, we focus on the challenges of modeling deformable 3D obje...
3D style transfer aims to render stylized novel views of a 3D scene with...
We present ShapeCrafter, a neural network for recursive text-conditioned...
Reinforcement learning has shown a wide usage in robotics tasks, such as...
Precision robotic manipulation tasks (insertion, screwing, precisely pic...
For a passive direction of arrival (DOA) measurement system using massiv...
Intelligent robotics policies have been widely researched for challengin...
Model-based methods are popular in derivative-free optimization (DFO). I...
How to make imitation learning more general when demonstrations are
rela...
For highly distributed environments such as edge computing, collaborativ...
Stochastic approximation (SA) algorithms are widely used in system
optim...