Grasping unknown objects based on real-world visual input is a challenging problem. In this
paper, we present an Early Cognitive Vision system that builds a hierarchical representation …

Grasping unknown objects based on visual input, where no a priori knowledge about the
objects is used, is a challenging problem. In this paper, we present an Early Cognitive Vision …

We describe a bootstrapping cognitive robot system that-mainly based on pure exploration-
acquires rich object representations and associated object-specific grasp affordances. Such …

In this paper, we present our work on GPU-based real-time extraction of surface patches by
means of Kinect cameras. This paper makes four contributions:(1) we derive an uncertainty …

Low-light conditions present a myriad of intricacies for object detection, with many existing
methods relying primarily on image enhancement before detection. Sometimes, the …

A new approach enabling a mobile robot to recognize and classify furniture-like objects
composed of assembled parts using a Microsoft Kinect is presented. Starting from …

We present a deep hierarchical visual system with two parallel hierarchies for edge and
surface information. In the two hierarchies, complementary visual information is represented …

We discuss the need of an elaborated in-between stage bridging early vision and cognitive
vision which we call 'Early Cognitive Vision'(ECV). This stage provides semantically rich …

We present a cognitive system in which grasping competences are coded by means of a
formalisation of sensory motor schemas in terms of so called 'object action …

Purpose–The purpose of this paper is to describe a robot vision system which put rings on
hooks that are moving freely on a conveyor belt. The hook can show a significant swinging …