The visual system of a robot has different requirements depending on the application: it may
require high accuracy or reliability, be constrained by limited resources, or need fast …

Reliable perception and efficient adaptation to novel conditions are priority skills for
humanoids that function in dynamic environments. The vast advancements in latest …

Object segmentation is a key component in the visual system of a robot that performs tasks
like grasping and object manipulation, especially in presence of occlusions. Like many other …

With the aim to solve issues of robot object recognition in complex scenes, this paper
proposes an object recognition method based on scene text reading. The proposed method …

If the robot is to interact with environment designed for humans it has to be able to cope with
new objects in it's surrounding, and not only to classify but also effectively localize objects in …

Deep Learning has demonstrated remarkable progress in various Computer Vision tasks.
However, its effectiveness often relies on the availability of large, well-annotated datasets. In …

Kernel methods are among the most flexible classes of machine learning models with strong
theoretical guarantees. Wide classes of functions can be approximated arbitrarily well with …

The ability to adapt to perceive and manipulate novel objects is an important requirement for
robots operating in unstructured dynamically-changing environments like the ones we live …

Deep Learning (DL) based methods for object detection achieve remarkable performance at
the cost of computationally expensive training and extensive data labeling. Robots …