World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
9525
World Ranking
6796
National Ranking
168

Electronics and Electrical Engineering

D-Index
46
Citations
9492
World Ranking
3353
National Ranking
95

Overview

Lorenzo Natale is affiliated with the Italian Institute of Technology in Italy. The research spans multiple domains within computer science and engineering, with a focus on robotics and artificial intelligence. Their work has contributed to fields such as computer vision and pattern recognition, artificial intelligence, control and systems engineering, biomedical engineering, and human-computer interaction.

The scientist's research topics reflect an emphasis on robot manipulation and learning, domain adaptation and few-shot learning, advanced neural network applications, social robot interaction and human-robot interaction (HRI), multimodal machine learning applications, robotics and sensor-based localization, and studies involving muscle activation and electromyography.

Key recent papers include:

  • GRASPA 1.0: GRASPA is a Robot Arm graSping Performance BenchmArk, 2020, IEEE Robotics and Automation Letters
  • In-domain versus out-of-domain transfer learning in plankton image classification, 2023, Scientific Reports
  • Hand-Object Interaction: From Human Demonstrations to Robot Manipulation, 2021, Frontiers in Robotics and AI
  • Tour guide robot: a 5G-enabled robot museum guide, 2024, Frontiers in Robotics and AI
  • Toward an Attentive Robotic Architecture: Learning-Based Mutual Gaze Estimation in Human-Robot Interaction, 2022, Frontiers in Robotics and AI

Frequent co-authors collaborating with Lorenzo Natale include:

  • Elisa Maiettini
  • Lorenzo Rosasco
  • Giulia Pasquale
  • Michele Colledanchise
  • Maria Lombardi

Publication venues where their work is commonly published feature prominently in robotics and AI communities:

  • arXiv (Cornell University)
  • Frontiers in Robotics and AI
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Robotics and Automation Letters
  • 2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids)

The volume of publications in various fields and venues illustrates an active engagement with interdisciplinary research combining computational methods with robotics applications. The integration of machine learning techniques with robotic systems is a consistent theme across the scientist's documented output.

Best Publications

  • YARP: Yet Another Robot Platform:

    Giorgio Metta;Paul Fitzpatrick;Lorenzo Natale;Lorenzo Natale

  • The iCub humanoid robot: an open platform for research in embodied cognition

    Giorgio Metta;Giulio Sandini;David Vernon;Lorenzo Natale

  • The iCub humanoid robot: An open-systems platform for research in cognitive development

    Giorgio Metta;Lorenzo Natale;Francesco Nori;Giulio Sandini

  • Methods and Technologies for the Implementation of Large-Scale Robot Tactile Sensors

    A Schmitz;P Maiolino;M Maggiali;L Natale

  • Learning about objects through action - initial steps towards artificial cognition

    P. Fitzpatrick;G. Metta;L. Natale;S. Rao

  • Robots with a sense of touch.

    Chiara Bartolozzi;Lorenzo Natale;Francesco Nori;Giorgio Metta

  • WALK-MAN: A High-Performance Humanoid Platform for Realistic Environments

    N. G. Tsagarakis;D. G. Caldwell;F. Negrello;W. Choi

  • Towards long-lived robot genes

    Paul Fitzpatrick;Giorgio Metta;Lorenzo Natale

  • A Flexible and Robust Large Scale Capacitive Tactile System for Robots

    Perla Maiolino;Marco Maggiali;Giorgio Cannata;Giorgio Metta

  • An experimental evaluation of a novel minimum-jerk cartesian controller for humanoid robots

    Ugo Pattacini;Francesco Nori;Lorenzo Natale;Giorgio Metta

  • An open-source simulator for cognitive robotics research: the prototype of the iCub humanoid robot simulator

    V. Tikhanoff;A. Cangelosi;P. Fitzpatrick;G. Metta

  • Highly Sensitive Soft Tactile Sensors for an Anthropomorphic Robotic Hand

    Lorenzo Jamone;Lorenzo Natale;Giorgio Metta;Giulio Sandini

  • Carbon Nanofiber versus Graphene-Based Stretchable Capacitive Touch Sensors for Artificial Electronic Skin.

    Pietro Cataldi;Simeone Dussoni;Luca Ceseracciu;Marco Maggiali

  • A tactile sensor for the fingertips of the humanoid robot iCub

    Alexander Schmitz;Marco Maggiali;Lorenzo Natale;Bruno Bonino

  • The design of the iCub humanoid robot

    Alberto Parmiggiani;Marco Maggiali;Lorenzo Natale;Francesco Nori

  • A New Silicone Structure for uSkin - A Soft, Distributed, Digital 3-Axis Skin Sensor and Its Integration on the Humanoid Robot iCub

    Tito Pradhono Tomo;Massimo Regoli;Alexander Schmitz;Lorenzo Natale

  • Force feedback exploiting tactile and proximal force/torque sensing Theory and implementation on the humanoid robot iCub

    Matteo Fumagalli;Matteo Fumagalli;Serena Ivaldi;Marco Randazzo;Lorenzo Natale

  • Understanding mirror neurons.

    Giorgio Metta;Giulio Sandini;Lorenzo Natale;Laila Craighero

  • Exploring affordances and tool use on the iCub

    V. Tikhanoff;U. Pattacini;L. Natale;G. Metta

  • On the Implementation of Behavior Trees in Robotics

    Michele Colledanchise;Lorenzo Natale

  • Active contour following to explore object shape with robot touch

    U. Martinez-Hernandez;T. J. Dodd;L. Natale;G. Metta

Frequent Co-Authors

Giorgio Metta
Giorgio Metta Italian Institute of Technology
Giulio Sandini
Giulio Sandini Italian Institute of Technology
Francesco Nori
Francesco Nori DeepMind (United Kingdom)
Atsuo Takanishi
Atsuo Takanishi Waseda University
Sean Ryan Fanello
Sean Ryan Fanello Google (United States)
Felix Warneken
Felix Warneken University of Michigan–Ann Arbor
Giorgio Battistelli
Giorgio Battistelli University of Florence
Nikos G. Tsagarakis
Nikos G. Tsagarakis Italian Institute of Technology

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