Spinal cord injury (SCI) leads to a massive disconnection between the brain and the body
parts below the lesion level representing a unique opportunity to explore how the body …

Machine learning researchers are beginning to understand the need for machines to be
able to self-assess their competence and express it in a human understandable form …

Episodic Memory (EM) is the neurocognitive capacity to consciously recollect personally
experienced events in specific spatio-temporal contexts. Although the relevance of spatial …

Safe human-robot interactions require robots to be able to learn how to behave
appropriately in spaces populated by people and thus to cope with the challenges posed by …

We suggest that the influence of biology in 'biologically inspired robotics' can be embraced
at a deeper level than is typical, if we adopt an enactive approach that moves the focus of …

An early integration of tactile sensing into motor coordination is the norm in animals, but still
a challenge for robots. Tactile exploration through touches on the body gives rise to first …

When learning and interacting with the world, people with Autism Spectrum Disorders (ASD)
show compromised use of vision and enhanced reliance on body-based information. As this …

Goal-directed manipulation of internal representations is a key element of human flexible
behaviour, while consciousness is commonly associated with higher-order cognition and …

The objective of this paper is to propose a framework for a robot to learn multiple Sensory-
Motor Contingencies from human demonstrations and reproduce them. Sensory-Motor …

There is a growing interest and literature on intrinsic motivations and open-ended learning
in both cognitive robotics and machine learning on one side, and in psychology and …