Search results for " Rob"

Fortuna dell’«Alda» di Guglielmo di Blois fra il XII e il XIII secolo: commedie elegiache, “fabliaux” e romanzi cortesi

2018

In questo intervento vengono studiate la fortuna e le imitazioni dell’Alda, commedia elegiaca latina di Guglielmo di Blois (scritta verso il 1169-1170), nella letteratura latina e volgare dei secc. XII e XIII. In particolare, dopo una presentazione generale dell’opera ci si sofferma su alcune commedie elegiache latine successive (Baucis et Traso, De mercatore, De uxore cerdonis di Iacopo da Benevento), su alcuni fabliaux antico-francesi del sec. XIII (Trubert di Douin de Lavesne, Li sohaiz desvez di Jean Bodel, l’anonimo De la damoisele) e sui romanzi di Chrétien de Troyes (Yvain) e di Roberto di Blois (Floris et Lyriopé). L’ultima sezione del lavoro è fondata, infine, sullo studio delle co…

Reaching and grasping a glass of water by locked-in ALS patients through a BCI-controlled humanoid robot

2015

Artificial Pleasure and Pain Antagonism Mechanism in a Social Robot

2017

The goal of the work is to build some Python modules that allow the Nao robot to emulate a somatosensorial system similar to the human one. Assuming it can perceive some feelings similar to the ones recognized by the human system, it will be possible to make it react appropriately to the external stimuli. The idea is to have a group of software sensors working simultaneously, providing some feedback to show how the robot is feeling at a particular time. It will be able to feel articular pain and stress, to perceive people in his surroundings (and in a future work to react according to the knowledge of them with face recognition), feel pleasure by recognizing caresses on his head and respond…

Replicating Experiments in “Detour Behavior” with Artificially Evolved Robots: An A-Life Approach to Comparative Psychology

1999

To be useful in psychology "artificial organisms" have to perform tasks comparable to those performed by animals. One way to achieve this is to rephcate actual animal experiments. Here we reproduce an experiment showing "detour behavior" in chicks - a behavior usually explained in terms of "cognitive maps" or other forms of internal representation. We artificially evolve software-simulated robots with a "generic" ability to detour. Sensor-motor physics are carefully calibrated with data from a physical robot. Robot architecture is constrained to exclude internal representation. The evolutionary process rewards exploratory skills as well as detour behavior. Robot performance matches the resu…

Il gesto comparativo negli studi urbani critici

2021

Non tutte le città sono uguali tra loro, ma i processi che si verificano al loro interno sono assimilabili e analizzabili grazie a modelli più o meno universali. O almeno, per molti anni così si è sostenuto: più anni di quanti forse pensiamo, se consideriamo che ancor oggi diversi studiosi di fatti urbani sostengono posizioni universalistiche. Il confronto tra due testi, un classico di Ernest W. Burgess e una lettura più recente e alternativa di Jennifer Robinson, ha come scopo la messa in discussione di questo tema all’interno degli studi urbani critici. Not all cities are the same, but the processes that occur within them can be assimilated and analyzed thanks to more or less universal mo…

Creation and cognition for humanoid live dancing

2016

Abstract Computational creativity in dancing is a recent and challenging research field in Artificial Intelligence and Robotics. We present a cognitive architecture embodied in a humanoid robot capable to create and perform dances driven by the perception of music. The humanoid robot is able to suitably move, to react to human mate dancers and to generate novel and appropriate sequences of movements. The approach is based on a cognitive architecture that integrates Hidden Markov Models and Genetic Algorithms. The system has been implemented on a NAO robot and tested in public setting-up live performances, obtaining positive feedbacks from the audience.

An automatic system for humanoid dance creation

2016

Abstract The paper describes a novel approach to allow a robot to dance following musical rhythm. The proposed system generates a dance for a humanoid robot through the combination of basic movements synchronized with the music. The system made up of three parts: the extraction of features from audio file, estimation of movements through the Hidden Markov Models and, finally, the generation of dance. Starting from a set of given movements, the robot choices sequence of movements a suitable Hidden Markov Model, and synchronize them processing musical input. The proposed approach has the advantage that movement execution probabilities could be changed according evaluation of the dance executi…

A Fly-Inspired Mushroom Bodies Model for Sensory-Motor Control Through Sequence and Subsequence Learning

2016

Classification and sequence learning are relevant capabilities used by living beings to extract complex information from the environment for behavioral control. The insect world is full of examples where the presentation time of specific stimuli shapes the behavioral response. On the basis of previously developed neural models, inspired by Drosophila melanogaster, a new architecture for classification and sequence learning is here presented under the perspective of the Neural Reuse theory. Classification of relevant input stimuli is performed through resonant neurons, activated by the complex dynamics generated in a lattice of recurrent spiking neurons modeling the insect Mushroom Bodies n…

Sequence Learning in a Single Trial: A Spiking Neurons Model Based on Hippocampal Circuitry.

2020

ABSTRACTIn contrast with our everyday experience using brain circuits, it can take a prohibitively long time to train a computational system to produce the correct sequence of outputs in the presence of a series of inputs. This suggests that something important is missing in the way in which models are trying to reproduce basic cognitive functions. In this work, we introduce a new neuronal network architecture that is able to learn, in a single trial, an arbitrary long sequence of any known objects. The key point of the model is the explicit use of mechanisms and circuitry observed in the hippocampus, which allow the model to reach a level of efficiency and accuracy that, to the best of our…

Nonlinear Robust Control of a Quadratic Boost Converter in a Wide Operation Range, Based on Extended Linearization Method

2022

This paper proposes a control system for a quadratic boost DC/DC converter in a wide range of operations, based on an inner loop with a sliding mode controller, for reaching a desired equilibrium state, and an outer loop with integral-type controller, for assuring robustness against load and input voltage variations and converter parameter uncertainties. The sliding mode controller is designed with the extended linearization method and assures local asymptotic stability, whereas the integral controller is designed using classical frequency methods, and assures input–output stability. It is shown that the proposed controller also deals with the sudden changes in the nominal operating conditi…