Active learning is a critical component of human development, however, the mechanisms
supporting it are not fully understood. Given that early learning experiences may affect both …

In this paper we present a broad overview of the last 40 years of research on cognitive
architectures. To date, the number of existing architectures has reached several hundred …

Most theories of infant social learning focus on how infants learn whatever and whenever
the adults decide to teach them. While infants are well equipped to learn from adults, recent …

This paper addresses the problem of active object learning by a humanoid child-like robot,
using a developmental approach. We propose a cognitive architecture where the visual …

In this Part II of a two-part work, we proceed from the survey of concepts and techniques of
Chu spaces and Channel Theory in Part I to the characterisation of human visual object …

This review paper addresses the escalating operation and maintenance costs of nuclear
power plants, primarily attributed to rising labor costs and intensified competition from …

Learning from Demonstration permits non-expert users to easily and intuitively reprogram
robots. Among approaches embracing this paradigm, probabilistic movement primitives …

We propose an architecture for the open-ended learning and control of embodied agents.
The architecture learns action affordances and forward models based on intrinsic …

Abstract Service robots, working in evolving human environments, need the ability to
continuously learn to recognize new objects. Ideally, they should act as humans do, by …

Multi-task learning by robots poses the challenge of the domain knowledge: complexity of
tasks, complexity of the actions required, relationship between tasks for transfer learning. We …