Rehabilitation Robots

In this project, we focus on advancing personalized upper-limb robotic rehabilitation through the development of adaptive control strategies, specifically aiming to establish adaptive an Assist-As-Needed (AAN) paradigms. By integrating Virtual Reality (VR) environments with end-effector robotic manipulators, the project utilizes adaptive Neural Networks (NN), energy-based performance monitoring, and game-theoretic models to dynamically adjust the level of robotic assistance in real-time. The overarching objective is to encourage a patient's active participation during therapy to improve motor recovery, while rigorously ensuring physical safety and stable human-robot interaction.

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The goal of this project is to develop an open-source, budget-friendly robotic system designed to improve and democratize upper-limb rehabilitation. By utilizing a simple five-linkage mechanism, the robot delivers highly interactive, data-driven therapy that adapts to a patient's specific recovery stage. Ultimately, it aims to replace tedious traditional exercises with engaging, precisely controlled tasks, making advanced physical therapy accessible for clinics, research labs, and home-based care.

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This project develops an affordable, adaptive rehabilitation robot to help children with neuromuscular diseases maintain and recover upper limb function. It uses advanced control systems to personalize therapy in real time while collecting objective data to accurately track patient progress. Designed to support remote telerehabilitation, the system aims to make intensive, high-quality care accessible to more children and improve their daily autonomy. 

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HapticMaster is a device used especially for the rehabilitation of the upper limb in patients with neuromotor deficiencies. This device can only control the hand translations, but not the wrist rotations. We have developed a 3 DOF mechanism that can be used with HapticMaster or any other arm/hand rehabilitation devices to enable the wrist/finger rotations. 

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