We present a comprehensive tutorial review that explores the application of bio-inspired
approaches to robot control systems for grappling and manipulating a wide range of space …

The Future of the Artificial Mind is about the social and technological challenges posed by
the new wave of artificial intelligence, both from a technical and a cognitive perspective …

The neural correlates and nature of self-consciousness is an advanced topic in Cognitive
Neuroscience. Only a few animal species have been testified to be with this cognitive ability …

As robots become more prevalent in smaller manufacturing and maintenance settings, it will
become important to enable them to learn new tasks quickly without explicit programming by …

We propose a biologically inspired model that enables a humanoid robot to learn how to
track its end effector by integrating visual and proprioceptive cues as it interacts with the …

We present an approach that allows a robot to generate trajectories to perform a set of
instances of a task using few physical trials. Specifically, we address manipulation tasks …

We present an algorithm that enables a robot to learn the visuomotor transformation from its
joint angle space to visual space. The learned transformation can accurately predict location …

We present an algorithm that simultaneously identifies the structure and learns the kinematic
model of an articulated body from point cloud data and joint angle data with minimal prior …

Forward models play a key role in cognitive agents by providing predictions of the sensory
consequences of motor commands, also known as sensorimotor contingencies (SMCs). In …

Sensory-motor learning in humans and other animals is largely an unsupervised, adaptive,
and active process. Exteroceptive and proprioceptive modalities are crucial for motor action …