Grasping an object is a task that inherently needs to be treated in a hybrid fashion. The
system must decide both where and how to grasp the object. While selecting where to grasp …

This paper presents a new modular and integrative sensory information system inspired by
the way the brain performs information processing, in particular, pattern recognition. Spiking …

We address the issue of learning and representing object grasp affordance models. We
model grasp affordances with continuous probability density functions (grasp densities) …

In the mammalian cortex the early sensory processing can be characterized as feature
extraction resulting in local and analogue low-level representations. As a direct …

In this paper, we describe and evaluate a new spiking neural network (SNN) architecture
and its corresponding learning procedure to perform fast and adaptive multi-view visual …

In this work, we describe and evaluate a grasping mechanism that does not make use of any
specific object prior knowledge. The mechanism makes use of second-order relations …

Embodied cognition suggests that complex cognitive traits can only arise when agents have
a body situated in the world. The aspects of embodiment and situatedness are being …

We describe a process in which the segmentation of objects as well as the extraction of the
object shape becomes realized through active exploration of a robot vision system. In the …

We present a method for learning object grasp affordance models in 3D from experience,
and demonstrate its applicability through extensive testing and evaluation on a realistic and …

We discuss vision as a sensory modality for systems that interact flexibly with uncontrolled
environments. Instead of trying to build a generic vision system that produces task …