Ananda Freire

Learn More
This paper reports results of an investigation on the degree of influence of short-term memory mechanisms on the performance of neural classifiers when applied to robot navigation tasks. In particular, we deal with the well-known strategy of navigating by “wall-following”. For this purpose, four standard neural architectures (Logistic(More)
Pointing at something refers to orienting the hand, the arm, the head or the body in the direction of an object or an event. This skill constitutes a basic communicative ability for cognitive agents like, e.g. humanoid robots. The goal of this study is to show that approximate and, in particular, precise pointing can be learned as a direct mapping from the(More)
Pointing refers to orienting a hand, arm, head or body towards an object and is possible without calculating the object’s depth and 3D position. We show that pointing can be learned as holistic direct mapping from an object’s pixel coordinates in the visual field to joint angles, which define pose and orientation of a human or robot. To this aim, we record(More)
We propose a novel approach for architecture selection and hidden neurons excitability improvement for the Extreme Learning Machine (ELM). Named Adaptive Number of Hidden Neurons Approach (ANHNA), the proposed approach relies on a new general encoding scheme of the solution vector that automatically estimates the number of hidden neurons and adjust their(More)
  • 1