Ferdinando A. Mussa-Ivaldi, PhD

Affiliations: 
Physiology, Physical Medicine and Rehabilitation, Biomedical Engineering Northwestern University, Evanston, IL 
Area:
Motor System, Learning, Robotics, Computational Neuroscience
Google:
"Ferdinando Mussa-Ivaldi"
Mean distance: 13.59 (cluster 22)
 
SNBCP
Cross-listing: Robotree

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Publications

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Lee JM, Gebrekristos T, DE Santis D, et al. (2024) Learning to Control Complex Robots Using High-Dimensional Body-Machine Interfaces. Acm Transactions On Human-Robot Interaction. 13
Lee JM, Gebrekristos T, De Santis D, et al. (2023) An Exploratory Multi-Session Study of Learning High-Dimensional Body-Machine Interfacing for Assistive Robot Control. Ieee ... International Conference On Rehabilitation Robotics : [Proceedings]. 2023: 1-6
Portnova-Fahreeva AA, Rizzoglio F, Mussa-Ivaldi FA, et al. (2023) Autoencoder-based myoelectric controller for prosthetic hands. Frontiers in Bioengineering and Biotechnology. 11: 1134135
Portnova-Fahreeva AA, Rizzoglio F, Casadio M, et al. (2023) Learning to operate a high-dimensional hand via a low-dimensional controller. Frontiers in Bioengineering and Biotechnology. 11: 1139405
Rizzoglio F, Giordano M, Mussa-Ivaldi FA, et al. (2023) A Non-Linear Body Machine Interface For Controlling Assistive Robotic Arms. Ieee Transactions On Bio-Medical Engineering
Pierella C, Galofaro E, De Luca A, et al. (2021) Recovery of Distal Arm Movements in Spinal Cord Injured Patients with a Body-Machine Interface: A Proof-of-Concept Study. Sensors (Basel, Switzerland). 21
Pierella C, Galofaro E, De Luca A, et al. (2021) Recovery of Distal Arm Movements in Spinal Cord Injured Patients with a Body-Machine Interface: A Proof-of-Concept Study. Sensors (Basel, Switzerland). 21
Rizzoglio F, Casadio M, De Santis D, et al. (2021) Building an adaptive interface via unsupervised tracking of latent manifolds. Neural Networks : the Official Journal of the International Neural Network Society. 137: 174-187
Keonyoung O, Rymer WZ, Plenzio I, et al. (2020) Development of a planar haptic robot with minimized impedance. Ieee Transactions On Bio-Medical Engineering
Rizzoglio F, Pierella C, De Santis D, et al. (2020) A hybrid body-machine interface integrating signals from muscles and motions. Journal of Neural Engineering
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