Edoardo Sotgiu
I'm a Mechanical Engineer, MSc. I have been working on control of parallel kinematics haptic interfaces, bilateral teleoperation system for surgery, autonomous mobile robot based on bioinspired vision, vibrotactile and sensorized device for perception study, robotic device and software application for rehabilitation therapy, biomechanics and human movement analysis, control of exoskeleton robotic device, robot-assisted neurorehabilitation and pedestrian navigation system for blind people.My current interests are related to bioinspired tactile sensors and tactile feedback device.
Phone: +39050882559
Phone: +39050882559
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Papers by Edoardo Sotgiu
NeuroMusculoSkeletal (NMS) model was implemented
and optimized using genetic algorithms to adapt the model to different subjects. The NMS model is able to predict the shoulder and elbow torques which are used by the control algorithm to ensure a minimal force of interaction.
The accuracy of the method is assessed through validation experiments conducted with two healthy subjects performing free movements along the pseudo-sagittal plane. The experiments show promising results for our approach showing its potential for being introduced in a rehabilitation protocol.
it is driven by patient’s intentional control through a self-paced
asynchronous Motor Imagery based Brain Computer Interface (MI-BCI). The developed antropomorphic eight DoFs exoskeleton (two DoFs for the hand, two for the wrist and four for the arm) allows full support of the manipulation activity at the level of single upper limb joint. In this study, we show the feasibility of the proposed system through experimental rehabilitation sessions conducted with three chronic post-stroke patients. Results show the potential of the proposed system for being introduced in a rehabilitation protocol.
NeuroMusculoSkeletal (NMS) model was implemented
and optimized using genetic algorithms to adapt the model to different subjects. The NMS model is able to predict the shoulder and elbow torques which are used by the control algorithm to ensure a minimal force of interaction.
The accuracy of the method is assessed through validation experiments conducted with two healthy subjects performing free movements along the pseudo-sagittal plane. The experiments show promising results for our approach showing its potential for being introduced in a rehabilitation protocol.
it is driven by patient’s intentional control through a self-paced
asynchronous Motor Imagery based Brain Computer Interface (MI-BCI). The developed antropomorphic eight DoFs exoskeleton (two DoFs for the hand, two for the wrist and four for the arm) allows full support of the manipulation activity at the level of single upper limb joint. In this study, we show the feasibility of the proposed system through experimental rehabilitation sessions conducted with three chronic post-stroke patients. Results show the potential of the proposed system for being introduced in a rehabilitation protocol.