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Outputs (17)

Pressure and angle sensors with optical fiber for instrumentation of the PrHand hand prosthesis (2022)
Presentation / Conference Contribution

The principal cause of upper limb amputations is due to traumatism. The prosthesis is an assistive device to help in the activities of daily for the amputee person. However, one of the latest reports shows that in developing countries there are aroun... Read More about Pressure and angle sensors with optical fiber for instrumentation of the PrHand hand prosthesis.

Haptic teleoperation goes wireless: Evaluation and benchmarking of a high-performance low-power wireless control technology (2022)
Presentation / Conference Contribution

Communication delays and packet losses are commonly investigated issues in the area of robotic teleoperation. This paper investigates application of a novel low-power wireless control technology (GALLOP) in a haptic teleoperation scenario developed t... Read More about Haptic teleoperation goes wireless: Evaluation and benchmarking of a high-performance low-power wireless control technology.

Optical fiber angle sensors for the PrHand prosthesis: Development and application in grasp types recognition with machine learning (2022)
Presentation / Conference Contribution

This work presents the instrumentation of the PrHand upper-limb prosthesis with optical fiber sensors to measure the angle of the proximal interphalangeal joint. The angle sensors are based on bending-induced loss and are fabricated with polymer opti... Read More about Optical fiber angle sensors for the PrHand prosthesis: Development and application in grasp types recognition with machine learning.

Mirror-based robotic therapy for ankle recovery with a serious game: A case study with a neurological patient (2022)
Presentation / Conference Contribution

Neuromuscular disorders, such as foot drop, severely affect the locomotor function and walking independence after a brain injury event. Mirror-based robotic therapy (MRT) has been a promising rehabilitation strategy favouring upper limb muscle streng... Read More about Mirror-based robotic therapy for ankle recovery with a serious game: A case study with a neurological patient.

Three study cases of social robotics in autism spectrum disorder treatment: Personalization and usability of CASTOR robot (2022)
Presentation / Conference Contribution

Social assistive robotics in autism has been implemented in studies and therapies to improve social skills and encourage children to comply with therapies. However, autism symptoms vary in their spectrum, which generates difficulties in implementing... Read More about Three study cases of social robotics in autism spectrum disorder treatment: Personalization and usability of CASTOR robot.

EEG evaluation in a neuropsychological intervention program based on virtual reality in adults with Parkinson’s disease (2022)
Journal Article

Nowadays, several strategies for treating neuropsychologic function loss in Parkinson’s disease (PD) have been proposed, such as physical activity performance and developing games to exercise the mind. However, few studies illustrate the incidence of... Read More about EEG evaluation in a neuropsychological intervention program based on virtual reality in adults with Parkinson’s disease.

Integrating spiking neural networks and deep learning algorithms on the neurorobotics platform (2022)
Presentation / Conference Contribution

We present a neurorobotic model that can associate self motion (odometry) with vision to correct for drift in a spiking neural network model of head direction based closely on known rodent neurophys-iology. We use a deep predictive coding network to... Read More about Integrating spiking neural networks and deep learning algorithms on the neurorobotics platform.

A machine learning model for predicting sit-to-stand trajectories of people with and without stroke: towards adaptive robotic assistance (2022)
Journal Article

Sit-to-stand and stand-to-sit transfers are fundamental daily motions that enable all other types of ambulation and gait. However, the ability to perform these motions can be severely impaired by different factors, such as the occurrence of a stroke,... Read More about A machine learning model for predicting sit-to-stand trajectories of people with and without stroke: towards adaptive robotic assistance.

A study on the effects of cognitive overloading and distractions on human movement during robot-assisted dressing (2022)
Journal Article

For robots that can provide physical assistance, maintaining synchronicity of the robot and human movement is a precursor for interaction safety. Existing research on collaborative HRI does not consider how synchronicity can be affected if humans are... Read More about A study on the effects of cognitive overloading and distractions on human movement during robot-assisted dressing.