A sEMG-driven Soft ExoSuit based on Twisted String Actuators for Elbow Assistive Applications
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Wearable soft robotic systems are enabling safer human-robot interaction and are proving to be instrumental for biomedical rehabilitation. In this manuscript, we propose a novel, modular, wearable robotic device for human (lumbar) spine assistance that is ...
In the past decade, several arm rehabilitation robots have been developed to assist neurological patients during therapy. Early devices were limited in their number of degrees of freedom and range of motion, whereas newer robots such as the ARMin robot can ...
Enabling individuals who are living with reduced mobility of the hand to utilize portable exoskeletons at home has the potential to deliver rehabilitation therapies with a greater intensity and relevance to activities of daily living. Various hand exoskele ...
2016
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In a human robot interaction scenario, predicting the human motion intention is essential for avoiding inconvenient delays and for a smooth reactivity of the robotic system. In particular, when dealing with hand prosthetic devices, an early estimation of t ...
ACM2015
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Wearable technologies, interactive and safe robotic systems require an effective actuator control that highly depends on the accurate feedback from flexible and dense array of sensors. In this paper, we introduce a novel soft stretch sensor design that is ...
2015
Modern wearable robots are not yet intelligent enough to fully satisfy the demands of endusers, as they lack the sensor fusion algorithms needed to provide optimal assistance and react quickly to perturbations or changes in user intentions. Sensor fusion a ...
Elsevier2014
The present paper describes LIGRA, an innovative technological solution developed in the context of the SAFROS co-funded EU project. Its general goal is to improve patient safety during minimal invasive robotic surgery. Focusing on the risks introduced in ...
In the last years there has been an increasing interest on using human feedback during robot operation to incorporate non-expert human expertise while learning complex tasks. Most work has considered reinforcement learning frameworks were human feedback, p ...
A novel mechanical system, based on a new cable driven mechanical transmission, able to provide sufficient dexterity, stiffness, speed, precision and payload capacity to actuate multi-DOF micro-manipulators. Besides the possibility of being used in several ...
In surgical to industrial manipulation, the operator needs assistance for tasks requiring more than two hands. Teamwork may be the source of errors and inefficiency, especially if the assistant is a novice or unfamiliar with the main operator. The need for ...