Learning optimal policies in sparse rewards settings is difficult as the...
Reward-based optimization algorithms require both exploration, to find
r...
Spatial knowledge is a fundamental building block for the development of...
Evolvability is an important feature that impacts the ability of evoluti...
Despite its omnipresence in robotics application, the nature of spatial
...
This work investigates how a naive agent can acquire its own body image ...
Perceiving the surrounding environment in terms of objects is useful for...
The design of robotic systems is largely dictated by our purely human
in...
Artificial perception is traditionally handled by hand-designing task
sp...
Sensorimotor contingency theory offers a promising account of the nature...
Developmental Robotics offers a new approach to numerous AI features tha...
Current machine learning techniques proposed to automatically discover a...
Despite its omnipresence in robotics application, the nature of spatial
...
Robots act in their environment through sequences of continuous motor
co...
In Machine Learning and Robotics, the semantic content of visual feature...
In a developmental framework, autonomous robots need to explore the worl...