41 citations · 189 across the 29 of their papers we have counts for
4 papers · 1 filter
Human activity recognition from skeleton poses
Frederico Belmonte Klein, Angelo Cangelosi
Human Action Recognition is an important task of Human Robot Interaction as cooperation between robots and humans requires that artificial agents recognise complex cues from the en…
Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction
Mohammad Thabet, Massimiliano Patacchiola, Angelo Cangelosi
Deep reinforcement learning has proven to be a great success in allowing agents to learn complex tasks. However, its application to actual robots can be prohibitively expensive. Fu…
Influence of Pointing on Learning to Count: A Neuro-Robotics Model
Leszek Pecyna, Angelo Cangelosi
In this paper a neuro-robotics model capable of counting using gestures is introduced. The contribution of gestures to learning to count is tested with various model and training c…
A Deep Neural Network for Finger Counting and Numerosity Estimation
Leszek Pecyna, Angelo Cangelosi, Alessandro Di Nuovo
In this paper, we present neuro-robotics models with a deep artificial neural network capable of generating finger counting positions and number estimation. We first train the mode…