Accurate affordance detection and segmentation with pixel precision is a...
Single-view depth estimation can be remarkably effective if there is eno...
The integration of semantic information in a map allows robots to unders...
Affordances are a fundamental concept in robotics since they relate avai...
Current visual implants still provide very low resolution and limited fi...
Estimating depth from endoscopic images is a pre-requisite for a wide se...
The visual functions of visual prostheses such as field of view, resolut...
Autonomous agents, such as robots or intelligent devices, need to unders...
Uncertainty quantification is a key aspect in robotic perception, as
ove...
Bayesian optimization is an efficient nonlinear optimization method wher...
Bayesian optimization has become a popular method for high-throughput
co...
Prosthetic vision based on phosphenes is a promising way to provide visu...
Inference in the presence of outliers is an important field of research ...
In financial asset management, choosing a portfolio requires balancing
r...
Bayesian optimization has recently attracted the attention of the automa...
Bayesian optimization has become a fundamental global optimization algor...
We address the robot grasp optimization problem of unknown objects
consi...
Bayesian optimization has shown to be a fundamental global optimization
...
The purpose of this paper is twofold. On one side, we present a general
...