activity
20192022
most citedFeature-Based Transfer Learning for Robotic Push Manipulation

19 citations · 52 across the 13 of their papers we have counts for

collaborators

15 papers

cs.NE20221 cited

Direct Mutation and Crossover in Genetic Algorithms Applied to Reinforcement Learning Tasks

Tarek Faycal, Claudio Zito

Neuroevolution has recently been shown to be quite competitive in reinforcement learning (RL) settings, and is able to alleviate some of the drawbacks of gradient-based approaches.…

cs.LG2022

Dyna-T: Dyna-Q and Upper Confidence Bounds Applied to Trees

Tarek Faycal, Claudio Zito

In this work we present a preliminary investigation of a novel algorithm called Dyna-T. In reinforcement learning (RL) a planning agent has its own representation of the environmen…

cs.RO2022

Multi-Hypothesis Scan Matching through Clustering

Giorgio Iavicoli, Claudio Zito

Graph-SLAM is a well-established algorithm for constructing a topological map of the environment while simultaneously attempting the localisation of the robot. It relies on scan ma…

cs.CV20222 cited

Underwater Object Classification and Detection: first results and open challenges

Andre Jesus, Claudio Zito, Claudio Tortorici +2

This work reviews the problem of object detection in underwater environments. We analyse and quantify the shortcomings of conventional state-of-the-art (SOTA) algorithms in the com…

eess.AS2020

Statistical Context-Dependent Units Boundary Correction for Corpus-based Unit-Selection Text-to-Speech

Claudio Zito, Fabio Tesser, Mauro Nicolao +1

In this study, we present an innovative technique for speaker adaptation in order to improve the accuracy of segmentation with application to unit-selection Text-To-Speech (TTS) sy…

cs.RO2020

Aging Touch: Systematic and Unbiased Presentation of Tactile Stimuli

Claudio Zito

This report presents the experimental methodology and a step-by-step guide for gathering data on how aging influences tactile surface perception in decision and action. The experim…