An increasing amount of applications rely on data-driven models that are...
In order to operate in human environments, a robot's semantic perception...
This work presents an embodied agent that can adapt its semantic segment...
High accuracy 3D surface information is required for many construction
r...
Semantic segmentation networks are usually pre-trained and not updated d...
Autonomous robots deal with unexpected scenarios in real environments. G...
We propose a novel robotic system that can improve its semantic percepti...
State-of-the-art semantic or instance segmentation deep neural networks
...
The inability of state-of-the-art semantic segmentation methods to detec...
The distribution of a neural network's latent representations has been
s...
This paper presents a localization system for mobile robots enabling pre...
This paper presents the perception, mapping, and planning pipeline
imple...
We present a fully-integrated sensing and control system which enables m...
There has been a remarkable progress in the accuracy of semantic segment...
Unmanned aerial vehicles combined with computer vision systems, such as
...
Deep learning has enabled remarkable advances in semantic segmentation a...
Deep learning has enabled impressive progress in the accuracy of semanti...
Sensor fusion is a fundamental process in robotic systems as it extends ...