Search results for: Alessandro G. Di Nuovo

Items from 1 to 10 out of 10 results

article

Autonomous learning in humanoid robotics through mental imagery

Alessandro G. Di Nuovo, Davide Marocco, Santo Di Nuovo, Angelo Cangelosi

Neural Networks > 2013 > 41 > Complete > 147-155

In this paper we focus on modeling autonomous learning to improve performance of a humanoid robot through a modular artificial neural networks architecture. A model of a neural controller is presented, which allows a humanoid robot iCub to autonomously improve its sensorimotor skills. This is achieved by endowing the neural controller with a secondary neural system that, by exploiting the sensorimotor...

chapter

Recurrent neural network for ballistic actions: A study with the iCub

Alessandro G. Di Nuovo, Davide Marocco

2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL) > 1 - 2

2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL)

In the test phase the RNN was used to simulate both online and offline conditions. The task was repeated with the iCub simulator a total of 30 times, 10 for each direction, starting from random initial positions of the joints. The action is concluded when the RNN issues the command to release the object and then errors are calculated as the difference between actual joints' positions and the reference...

chapter

Mental practice and verbal instructions execution: A cognitive robotics study

Alessandro G. Di Nuovo, Vivian M. De La Cruz, Santo Di Nuovo

The 2012 International Joint Conference on Neural Networks (IJCNN) > 1 - 6

2012 International Joint Conference on Neural Networks (IJCNN 2012 - Brisbane)

Understanding the tight relationship that exists between mental imagery and motor activities (i.e. how images in the mind can influence movements and motor skills) has become a topic of interest and is of particular importance in domains in which improving those skills is crucial for obtaining better performance, such as in sports and rehabilitation. In this paper, using an embodied cognition approach...

article

Intelligent quotient estimation of mental retarded people from different psychometric instruments using artificial neural networks

Alessandro G. Di Nuovo, Santo Di Nuovo, Serafino Buono

Artificial Intelligence In Medicine > 2012 > 54 > 2 > 135-145

The estimation of a person's intelligence quotient (IQ) by means of psychometric tests is indispensable in the application of psychological assessment to several fields. When complex tests as the Wechsler scales, which are the most commonly used and universally recognized parameter for the diagnosis of degrees of retardation, are not applicable, it is necessary to use other psycho-diagnostic tools...

chapter

A Neural Network model for spatial mental imagery investigation: A study with the humanoid robot platform iCub

Alessandro G. Di Nuovo, Davide Marocco, Santo Di Nuovo, Angelo Cangelosi

The 2011 International Joint Conference on Neural Networks > 2199 - 2204

2011 International Joint Conference on Neural Networks (IJCNN 2011 - San Jose)

Understanding the process behind the human ability of creating mental images of events and experiences is a still crucial issue for psychologists. Mental imagery may be considered a multimodal biological simulation that activates the same, or very similar, sensorial and motor modalities that are activated when we interact with the environment in real time. Neuro-psychological studies show that neural...

article

Missing data analysis with fuzzy C-Means: A study of its application in a psychological scenario

Alessandro G. Di Nuovo

Expert Systems with Applications > 2011 > 38 > 6 > 6793-6797

In scientific research, and particularly in psychological studies, data for some variables in the database to be analyzed may well be missing. If not dealt with in the correct way, the missing values may weaken or even compromise the validity of research into the database, especially if it is a small one. In this paper we introduce the most common solutions to this problem offered by the most popular...

chapter

An agent-based infrastructure for monitoring aviation pilot's situation awareness

Alessandro G. Di Nuovo, Rosario B. Cannavo, Santo Di Nuovo

2011 IEEE Symposium on Intelligent Agent (IA) > 1 - 7

2011 Ieee Symposium On Intelligent Agents - Part Of 17273 - 2011 Ssci

It has been widely documented that at least 70% of commercial aviation incidents in the last 15 years are to be ascribed to human errors, although that is to be linked together with the difficulties in interactions with the ever more complexity of modern planes. Therefore there has been an enormous increase in avionics and on-board systems which, taken one by one, should increase safety, but on the...

article

Performance evaluation of efficient multi-objective evolutionary algorithms for design space exploration of embedded computer systems

Giuseppe Ascia, Vincenzo Catania, Alessandro G. Di Nuovo, Maurizio Palesi, more

Applied Soft Computing > 2011 > 11 > 1 > 382-398

Multi-objective evolutionary algorithms (MOEAs) have received increasing interest in industry because they have proved to be powerful optimizers. Despite the great success achieved, however, MOEAs have also encountered many challenges in real-world applications. One of the main difficulties in applying MOEAs is the large number of fitness evaluations (objective calculations) that are often needed...

article

Psychology with soft computing: An integrated approach and its applications

Alessandro G. Di Nuovo, Vincenzo Catania, Santo Di Nuovo, Serafino Buono

Applied Soft Computing > 2008 > 8 > 1 > 829-837

Soft computing techniques proved to be successful in many application areas. In this paper we investigate the application in psychopathological field of two well known soft computing techniques, fuzzy logic and genetic algorithms (GAs). The investigation started from a practical need: the creation of a tool for a quick and correct classification of mental retardation level, which is needed to choose...

article

Efficient design space exploration for application specific systems-on-a-chip

Giuseppe Ascia, Vincenzo Catania, Alessandro G. Di Nuovo, Maurizio Palesi, more

Journal of Systems Architecture > 2007 > 53 > 10 > 733-750

A reduction in the time-to-market has led to widespread use of pre-designed parametric architectural solutions known as system-on-a-chip (SoC) platforms. A system designer has to configure the platform in such a way as to optimize it for the execution of a specific application. Very frequently, however, the space of possible configurations that can be mapped onto a SoC platform is huge and the computational...

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