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D-Index & Metrics

Computer Science

D-Index
55
Citations
10162
World Ranking
4372
National Ranking
93

Overview

Giancarlo Ferrigno is affiliated with the Polytechnic University of Milan in Italy and has contributed extensively to research at the intersection of engineering, medicine, and computer science. Their work spans multiple disciplines including biomedical engineering, surgery, and computer vision and pattern recognition.

The scientist's research predominantly focuses on topics such as soft robotics and applications, surgical simulation and training, augmented reality applications, teleoperation and haptic systems, robot manipulation and learning, muscle activation and electromyography studies, as well as stroke rehabilitation and recovery.

Recent publications authored or co-authored by Giancarlo Ferrigno include the following:

  • Toward Teaching by Demonstration for Robot-Assisted Minimally Invasive Surgery (2021) - IEEE Transactions on Automation Science and Engineering
  • Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results (2020) - Neural Networks
  • Deep Neural Network Approach in Robot Tool Dynamics Identification for Bilateral Teleoperation (2020) - IEEE Robotics and Automation Letters
  • An Incremental Learning Framework for Human-Like Redundancy Optimization of Anthropomorphic Manipulators (2020) - IEEE Transactions on Industrial Informatics
  • Deep Neural Network Approach in EMG-Based Force Estimation for Human-Robot Interaction (2021) - IEEE Transactions on Artificial Intelligence

Giancarlo Ferrigno frequently publishes in venues such as:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • IEEE Robotics & Automation Magazine
  • IEEE Transactions on Medical Robotics and Bionics
  • Neural Networks

Frequent collaborators in their research include Elena De Momi, Hang Su, Junling Fu, Elisa Iovene, and Wen Qi. These partnerships reflect a multidisciplinary approach in advancing research in robotics, control systems, and medical applications.

The breadth of their main fields of study encompasses engineering with 70 publications, followed by medicine with 40, and computer science with 34 publications. Their involvement in subfields highlights biomedical engineering with 38, surgery with 21, computer vision and pattern recognition with 20, control and systems engineering with 11, and human-computer interaction with 11 publications.

Best Publications

  • Elite: A Digital Dedicated Hardware System for Movement Analysis Via Real-Time TV Signal Processing

    Giancarlo Ferrigno;Antonio Pedotti

  • Chest wall and lung volume estimation by optical reflectance motion analysis

    S. J. Cala;C. M. Kenyon;G. Ferrigno;P. Carnevali

  • Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation

    Stefano Corazza;Lars Mündermann;Emiliano Gambaretto;Giancarlo Ferrigno

  • Haptics in Robot-Assisted Surgery: Challenges and Benefits

    Nima Enayati;Elena De Momi;Giancarlo Ferrigno

  • Improved Human–Robot Collaborative Control of Redundant Robot for Teleoperated Minimally Invasive Surgery

    Hang Su;Chenguang Yang;Giancarlo Ferrigno;Elena De Momi

  • Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results.

    Hang Su;Yingbai Hu;Hamid Reza Karimi;Alois C. Knoll

  • Toward Teaching by Demonstration for Robot-Assisted Minimally Invasive Surgery

    Hang Su;Andrea Mariani;Salih Ertug Ovur;Arianna Menciassi

  • Technique for the evaluation of derivatives from noisy biomechanical displacement data using a model-based bandwidth-selection procedure.

    M. D'Amico;Giancarlo Ferrigno

  • Three-dimensional optical analysis of chest wall motion

    G. Ferrigno;P. Carnevali;A. Aliverti;F. Molteni

  • Validation of FreeSurfer-Estimated Brain Cortical Thickness: Comparison with Histologic Measurements

    Francesco Cardinale;Giuseppa Chinnici;Manuela Bramerio;Roberto Mai

  • MUNDUS project: MUltimodal neuroprosthesis for daily upper limb support.

    Alessandra L. G. Pedrocchi;Simona Ferrante;Emilia Ambrosini;Marta Gandolla

  • Deep Neural Network Approach in Robot Tool Dynamics Identification for Bilateral Teleoperation

    Hang Su;Wen Qi;Chenguang Yang;Juan Sandoval

  • The Influence of Neuronal Density and Maturation on Network Activity of Hippocampal Cell Cultures: A Methodological Study

    Emilia Biffi;Giulia Regalia;Andrea Menegon;Giancarlo Ferrigno

  • An Incremental Learning Framework for Human-like Redundancy Optimization of Anthropomorphic Manipulators

    Hang Su;Wen Qi;Yingbai Hu;Hamid Reza Karimi

  • A Novel Adaptive, Real-Time Algorithm to Detect Gait Events From Wearable Sensors

    Noelia Chia Bejarano;Emilia Ambrosini;Alessandra Pedrocchi;Giancarlo Ferrigno

  • Comparison between the more recent techniques for smoothing and derivative assessment in biomechanics.

    M. D'Amico;G. Ferrigno

  • Finger kinematic modeling and real-time hand motion estimation.

    P. Cerveri;E. De Momi;N. Lopomo;G. Baud-Bovy

  • Review of Robotic Technology for Stereotactic Neurosurgery

    Carlos Faria;Wolfram Erlhagen;Manuel Rito;Elena De Momi

  • Pattern recognition in 3D automatic human motion analysis

    G. Ferrigno;N.A. Borghese;A. Pedotti

  • Autoscan: a flexible and portable 3D scanner

    N.A. Borghese;G. Ferrigno;G. Baroni;A. Pedotti

  • Kinematical models to reduce the effect of skin artifacts on marker-based human motion estimation.

    P. Cerveri;A. Pedotti;G. Ferrigno

Frequent Co-Authors

Elena De Momi
Elena De Momi Polytechnic University of Milan
Flavia Valtorta
Flavia Valtorta Vita-Salute San Raffaele University
Thierry Pozzo
Thierry Pozzo Italian Institute of Technology
Francesco Cardinale
Francesco Cardinale University of Parma
Alois Knoll
Alois Knoll Technical University of Munich
Jörg Raisch
Jörg Raisch Technical University of Berlin
Chenguang Yang
Chenguang Yang University of Liverpool
Nick S. Ward
Nick S. Ward University College London
Stefano Ferrari
Stefano Ferrari Veneto Eye Bank Foundation
Guoyan Zheng
Guoyan Zheng Shanghai Jiao Tong University

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