Extreme learning machine (ELM) has gained increasing interest from various research fields
recently. In this review, we aim to report the current state of the theoretical research and …

Communication using manual (hand) gestures is considered a defining property of social
robots, and their physical embodiment and presence, therefore, we see a need for a …

The skill based programming eases the robot program generation, its similarity to human
behavior allows non expert operators maintaining, adapting or creating robotic applications …

Extreme learning machines are randomly initialized single-hidden layer feed-forward neural
networks where the training is restricted to the output weights in order to achieve fast …

Bionic soft robots offer exciting perspectives for more flexible and safe physical interaction
with the world and humans. Unfortunately, their hardware design often prevents analytical …

The ability of pointing is recognised as an essential skill of a robot in its communication and
social interaction. This paper introduces a developmental learning approach to robotic …

Mirror Puppeteering is a system for easily creating gestures (" animations") for robotic toys,
custom robots, and virtual characters. Lay users can record animations by simply moving a …

It is generally agreed upon that in order to achieve generalizable learning capabilities of
robots they need to be able to acquire compositional structures-whether in language or in …

The paper addresses path planning for a redundant robot arm that is maneuvering in
confined spaces, where neither an explicit model nor external perception of the possibly …

This paper investigates the learning dynamics of intrinsic plasticity (IP), which is a learning
rule to tune a neuron's activation function such that its output distribution becomes …