Modulating Body Ownership and Cognitive Load->

In this project, we investigate the impact of embodiment and the VEs richness on the cognitive load of people after stroke. Using this, we design VEs for immersive VR-based rehabilitation, that maximize skill acquisition and enhance neuroplasticity.

Augmented Somatic Feedback in Upper-limb and Neurorehabilitation ->

In this project, we investigate how somatic feedback from the interaction with virtual objects and their characteristics, such as their weight, geometry, and texture, affects the learning of new movements and object manipulation. This is done by providing different robotic devices, like the upper-limb exoskeleton ARMin, with the necessary haptic abilities to simulate dynamic object interactions. These features allow users to experience realistic object interactions, such as carrying a cup of coffee, in a virtual environment. 

Combining VR with Robotic Gait Rehabilitation ->

In this project, we investigate different ways to use virtual reality (VR) in combination with haptic feedback (forces applied by the robot) to improve robotic gait rehabilitation systems. The goal is to make patients more motivated and get them to be more engaged, as well as to design and build on novel rehabilitation paradigms to make these robotic gait rehabilitation systems more effective.

The Role of Personal Characteristics in Robotic Upper-limb Rehabilitation ->

Despite advancements in robotic therapy, it is still not clear how human differences influence the learning process. This project explores how these differences, such as psychological profile, or socioeconomic background, affect various aspects of robotic training in rehabilitation, aiming to enhance effectiveness and engagement for the patients. In the future, this knowledge could help develop more personalized therapies that cater better to the trainees' needs and desires.