5 citations · 13 across the 5 of their papers we have counts for
5 papers
Data-driven emotional body language generation for social robotics
Mina Marmpena, Fernando Garcia, Angelica Lim +2
In social robotics, endowing humanoid robots with the ability to generate bodily expressions of affect can improve human-robot interaction and collaboration, since humans attribute…
Grounding Perception: A Developmental Approach to Sensorimotor Contingencies
Alban Laflaquière, Nikolas Hemion, Michaël Garcia Ortiz +1
Sensorimotor contingency theory offers a promising account of the nature of perception, a topic rarely addressed in the robotics community. We propose a developmental framework to…
Grounding object perception in a naive agent's sensorimotor experience
Alban Laflaquière, Nikolas Hemion
Artificial object perception usually relies on a priori defined models and feature extraction algorithms. We study how the concept of object can be grounded in the sensorimotor exp…
Context Discovery for Model Learning in Partially Observable Environments
Nikolas J. Hemion
The ability to learn a model is essential for the success of autonomous agents. Unfortunately, learning a model is difficult in partially observable environments, where latent envi…
Discovering Latent States for Model Learning: Applying Sensorimotor Contingencies Theory and Predictive Processing to Model Context
Nikolas J. Hemion
Autonomous robots need to be able to adapt to unforeseen situations and to acquire new skills through trial and error. Reinforcement learning in principle offers a suitable methodo…