Matteo Saveriano

Matteo Saveriano

Universität Innsbruck

H-index: 17

Europe-Austria

About Matteo Saveriano

Matteo Saveriano, With an exceptional h-index of 17 and a recent h-index of 16 (since 2020), a distinguished researcher at Universität Innsbruck, specializes in the field of Robotics, Machine Learning, AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Novel Safety-Aware Energy Tank Formulation Based on Control Barrier Functions

Towards Robotised Palpation for Cancer Detection through Online Tissue Viscoelastic Characterisation with a Collaborative Robotic Arm

Neutrons Sensitivity of Deep Reinforcement Learning Policies on EdgeAI Accelerators

Safe execution of learned orientation skills with conic control barrier functions

Dynamic movement primitives in robotics: A tutorial survey

Elasticity Measurements of Expanded Foams using a Collaborative Robotic Arm

Imitation Learning-Based Visual Servoing for Tracking Moving Objects

A passivity-based approach for variable stiffness control with dynamical systems

Matteo Saveriano Information

University

Position

Assistant Professor

Citations(all)

1070

Citations(since 2020)

902

Cited By

430

hIndex(all)

17

hIndex(since 2020)

16

i10Index(all)

28

i10Index(since 2020)

23

Email

University Profile Page

Universität Innsbruck

Google Scholar

View Google Scholar Profile

Matteo Saveriano Skills & Research Interests

Robotics

Machine Learning

AI

Top articles of Matteo Saveriano

Title

Journal

Author(s)

Publication Date

A Novel Safety-Aware Energy Tank Formulation Based on Control Barrier Functions

IEEE Robotics and Automation Letters

Youssef Michel

Matteo Saveriano

Dongheui Lee

2024/4/16

Towards Robotised Palpation for Cancer Detection through Online Tissue Viscoelastic Characterisation with a Collaborative Robotic Arm

arXiv preprint arXiv:2404.09542

Luca Beber

Edoardo Lamon

Giacomo Moretti

Daniele Fontanelli

Matteo Saveriano

...

2024/4/15

Neutrons Sensitivity of Deep Reinforcement Learning Policies on EdgeAI Accelerators

IEEE Transactions on Nuclear Science

Pablo R Bodmann

Matteo Saveriano

Angeliki Kritikakou

Paolo Rech

2024/4/10

Safe execution of learned orientation skills with conic control barrier functions

arXiv preprint arXiv:2403.05447

Zheng Shen

Matteo Saveriano

Fares J Abu-Dakka

Sami Haddadin

2024/3/8

Dynamic movement primitives in robotics: A tutorial survey

The International Journal of Robotics Research

Matteo Saveriano

Fares J Abu-Dakka

Aljaž Kramberger

Luka Peternel

2023/9/23

Elasticity Measurements of Expanded Foams using a Collaborative Robotic Arm

arXiv preprint arXiv:2312.09628

Luca Beber

Edoardo Lamon

Luigi Palopoli

Luca Fambri

Matteo Saveriano

...

2023/12/15

Imitation Learning-Based Visual Servoing for Tracking Moving Objects

Rocco Felici

Matteo Saveriano

Loris Roveda

Antonio Paolillo

2023/9/20

A passivity-based approach for variable stiffness control with dynamical systems

IEEE Transactions on Automation Science and Engineering

Youssef Michel

Matteo Saveriano

Dongheui Lee

2023/10/19

Antifragile Control Systems: The case of mobile robot trajectory tracking under uncertainty and volatility

IEEE Access

Cristian Axenie

Matteo Saveriano

2023/12/5

VBOC: Learning the Viability Boundary of a Robot Manipulator using Optimal Control

IEEE Robotics and Automation Letters

Asia La Rocca

Matteo Saveriano

Andrea Del Prete

2023/9/11

Geometric reinforcement learning for robotic manipulation

IEEE Access

Naseem Alhousani

Matteo Saveriano

Ibrahim Sevinc

Talha Abdulkuddus

Hatice Kose

...

2023/10/6

Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model

arXiv preprint arXiv:2311.03600

Sayantan Auddy

Jakob Hollenstein

Matteo Saveriano

Antonio Rodríguez-Sánchez

Justus Piater

2023/11/6

Continual learning from demonstration of robotics skills

Robotics and Autonomous Systems

Sayantan Auddy

Jakob Hollenstein

Matteo Saveriano

Antonio Rodríguez-Sánchez

Justus Piater

2023/7/1

Orientation Control with Variable Stiffness Dynamical Systems

Youssef Michel

Matteo Saveriano

Fares J Abu-Dakka

Dongheui Lee

2023/10/1

Constrained Equation Learner Networks for Precision-Preserving Extrapolation of Robotic Skills

arXiv preprint arXiv:2311.02475

Hector Perez-Villeda

Justus Piater

Matteo Saveriano

2023/11/4

Dynamical System-based Imitation Learning for Visual Servoing using the Large Projection Formulation

Antonio Paolillo

Paolo Robuffo Giordano

Matteo Saveriano

2023/5/29

A Passive Variable Impedance Control Strategy with Viscoelastic Parameters Estimation of Soft Tissues for Safe Ultrasonography

arXiv preprint arXiv:2309.14893

Luca Beber

Edoardo Lamon

Davide Nardi

Daniele Fontanelli

Matteo Saveriano

...

2023/9/26

Learning stable robotic skills on Riemannian manifolds

Robotics and Autonomous Systems

Matteo Saveriano

Fares J Abu-Dakka

Ville Kyrki

2023/11/1

Antifragility as a complex system's response to perturbations, volatility, and time

arXiv preprint arXiv:2312.13991

Cristian Axenie

Oliver Lopez-Corona

Michail A Makridis

Meisam Akbarzadeh

Matteo Saveriano

...

2023/12/21

Learning and extrapolation of robotic skills using task-parameterized equation learner networks

Robotics and Autonomous Systems

Hector Perez-Villeda

Justus Piater

Matteo Saveriano

2023/2/1

See List of Professors in Matteo Saveriano University(Universität Innsbruck)

Co-Authors

H-index: 54
Gordon Cheng

Gordon Cheng

Technische Universität München

H-index: 37
Dongheui Lee

Dongheui Lee

Technische Universität München

H-index: 35
Vincenzo Lippiello

Vincenzo Lippiello

Università degli Studi di Napoli Federico II

H-index: 34
Jorg Conradt

Jorg Conradt

Kungliga Tekniska högskolan

H-index: 28
Christoph Richter

Christoph Richter

Technische Universität München

H-index: 27
Fanny Ficuciello

Fanny Ficuciello

Università degli Studi di Napoli Federico II

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