Search Results for author: Guido Schillaci

Found 6 papers, 2 papers with code

A Multisensory Learning Architecture for Rotation-invariant Object Recognition

no code implementations14 Sep 2020 Murat Kirtay, Guido Schillaci, Verena V. Hafner

This study presents a multisensory machine learning architecture for object recognition by employing a novel dataset that was constructed with the iCub robot, which is equipped with three cameras and a depth sensor.

Object Recognition

Tracking Emotions: Intrinsic Motivation Grounded on Multi-Level Prediction Error Dynamics

2 code implementations29 Jul 2020 Guido Schillaci, Alejandra Ciria, Bruno Lara

Here, we suggest that the tracking of prediction error dynamics allows an artificial agent to be intrinsically motivated to seek new experiences but constrained to those that generate reducible prediction error. We present an intrinsic motivation architecture that generates behaviors towards self-generated and dynamic goals and that regulates goal selection and the balance between exploitation and exploration through multi-level monitoring of prediction error dynamics.

Prediction error-driven memory consolidation for continual learning. On the case of adaptive greenhouse models

no code implementations19 May 2020 Guido Schillaci, Luis Miranda, Uwe Schmidt

This work presents an adaptive architecture that performs online learning and faces catastrophic forgetting issues by means of episodic memories and prediction-error driven memory consolidation.

Continual Learning

The iCub multisensor datasets for robot and computer vision applications

no code implementations4 Mar 2020 Murat Kirtay, Ugo Albanese, Lorenzo Vannucci, Guido Schillaci, Cecilia Laschi, Egidio Falotico

This document presents novel datasets, constructed by employing the iCub robot equipped with an additional depth sensor and color camera.

Action Recognition General Classification +1

Intrinsic Motivation and Episodic Memories for Robot Exploration of High-Dimensional Sensory Spaces

no code implementations7 Jan 2020 Guido Schillaci, Antonio Pico Villalpando, Verena Vanessa Hafner, Peter Hanappe, David Colliaux, Timothée Wintz

This work presents an architecture that generates curiosity-driven goal-directed exploration behaviours for an image sensor of a microfarming robot.

An adaptive architecture for portability of greenhouse models

1 code implementation29 Jul 2019 Luis Miranda, Guido Schillaci

We present an adaptive model architecture to perform online learning on greenhouse models.

Other Computer Science

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