Several analog and digital brain-inspired electronic systems have been recently proposed
as dedicated solutions for fast simulations of spiking neural networks. While these …

Sensor morphology, the morphology of a sensing mechanism which plays a role of shaping
the desired response from physical stimuli from surroundings to generate signals usable as …

This paper surveys value systems for developmental cognitive robotics. A value system
permits a biological brain to increase the likelihood of neural responses to selected external …

Neuromorphic implementation of robotic control has been shown to outperform conventional
control paradigms in terms of robustness to perturbations and adaptation to varying …

This paper addresses the question of how the brain of an animal achieves cognitive
integration—that is to say how it manages to bring its fullest resources to bear on an ongoing …

In this chapter we review the evidence for and against three claims: that (1) there is a
substantial chance we will create human-level AI before 2100, that (2) if human-level AI is …

Neurorobots are robots whose control has been modeled after some aspect of the brain.
Since the brain is so closely coupled to the body and situated in the environment …

Spiking Neuronal Networks (SNNs) realized in neuromorphic hardware lead to low-power
and low-latency neuronal computing architectures. Neuromorphic computing systems are …

In this work, we present a neuromorphic architecture for head pose estimation and scene
representation for the humanoid iCub robot. The spiking neuronal network is fully realized in …

Abstract Service and personal care robots are starting to cross the threshold into the
wilderness of everyday life, where they are supposed to interact with inexperienced lay …