Technology Enhanced Learning Using Humanoid Robots

Online-learning in Humanoid Robots

Statistical Learning for Humanoid Robots

The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techniques offer a possible way to aid controller design if insufficient analytical knowledge is available, and learning approaches seem mandatory when humanoid systems are supposed to become completely autonomous. While r...

Hierarchical Learning from Demonstration on Humanoid Robots

Developing behaviors for humanoid robots is difficult due to the high complexity of programming these robots, which includes repeated trial and error cycles. We have recently developed a learning from demonstration system capable of training agent behaviors from a small number of training examples. Our system represents a complex behavior as a hierarchical finite automaton, permitting decomposi...

Modelling Learning to Count in Humanoid Robots

In this paper we describe an embodied developmental modelof the interactions between the neural representations of num-bers and space in the humanoid robot iCub. We show how asimple developmental process that mimics real-world culturalbiases leads to the emergence of certain properties of the num-ber and space representation system that enable the robot toreproduce w...

Humanoid Robots

INTRODUCTION INTERACTION with the real world is of great importance for the advance of human intelligence. Now that the Net has spread worldwide and IT (information technology) is available everywhere, a new kind of social intelligence is about to be born. We need to overhaul the technologies that will be used to connect this new intelligence to the real world. In particular robotics technologi...