Felice Andrea Pellegrino

Associate Professor

University of Trieste

Italy

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Felice Andrea Pellegrino is an Associate Professor at Università di Trieste in Italy. His research areas encompass robotics, control systems, and artificial intelligence, with recent publications focusing on visual servo control, dynamic optimal control, and the application of AI in art recognition. He also investigates advancements in reinforcement learning techniques and the development of efficient controllers for soft robots.

Articles (11)

Year:

2025

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2023

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2020

Year:

2020

Collaborators (8)

Stefano Martellos

Professore Associato

Università degli Studi di Torino

ITALY

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Marco Zullich

University of Groningen

NETHERLANDS

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Franco Blanchini

Professor

University of Udine

ITALY

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Giulia Giordano

Associate Professor

University of Trento

ITALY

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Simon Hirlaender

AUSTRIA

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GIANFRANCO FENU

Assistant professor

University of Trieste

ITALY

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Erica Salvato

Assistant Professor (non tenure track)

University of Trieste

ITALY

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Eric Medvet

Associate professor

University of Trieste

ITALY

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Felice Andrea Pellegrino

Research Interests

Explore related searches

Contact this professor

About

Articles (11)

Position-based visual servo control without hand-eye calibration

Data-driven dynamic relatively optimal control

Model-Free Feedback Control Synthesis From Expert Demonstration

An Artificial Intelligence System for Automatic Recognition of Punches in Fourteenth-Century Panel Painting

Singularity Avoidance for Cart-Mounted Hand-Guided Collaborative Robots: A Variational Approach

Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots

Learning-based automatic classification of lichens from images

An Online Iterative Linear Quadratic Approach for a Satisfactory Working Point Attainment at FERMI

Crossing the Reality Gap: A Survey on Sim-to-Real Transferability of Robot Controllers in Reinforcement Learning

Basic Reinforcement Learning Techniques to Control the Intensity of a Seeded Free-Electron Laser

Model Predictive Control of Glucose Concentration Based on Signal Temporal Logic Specifications with Unknown-Meals Occurrence

Collaborators (8)

Stefano Martellos

Marco Zullich

Franco Blanchini

Giulia Giordano

Simon Hirlaender

GIANFRANCO FENU

Erica Salvato

Eric Medvet

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