NEUROHAPTIC – Neuromotor Evaluation and haptic-based Rehabilitation Platform with AI Control
Region
national
Phase
Planned
Partners
1 partner
Abstract
Within the NEUROHAPTIC project, the research activities will be carried out exclusively under industrial research and experimental development, aiming at the design, development, and validation of a functional prototype for robotic-assisted neuromotor assessment and treatment, based on haptic feedback and decision-making algorithms supported by artificial intelligence. The purpose of the research is to develop an innovative system that enables the real-time personalization of neuromotor therapies, using biomechanical and clinical data collected through a collaborative robot, as well as the integration of solutions for the patient’s active involvement through interactive serious gaming modules.
This project is part of the AI4INO. The aim is to accelerate the digital transformation of the North-West region by creating an infrastructure equipped with high-performance computing equipment and specialized hardware and software modules for developing AI-based solutions, while facilitating effective collaboration between research organizations and SMEs through knowledge, resource, and expertise transfer.
Proposed industrial research activities:
Defining the clinical and technical requirements and designing the system architecture – identifying the medical needs, therapeutic parameters, and an integrated protocol for collecting them together with the patient’s anthropometric characteristics, followed by the development of the system’s hardware and software architecture, the definition of the human-robot interface, and the data collection and processing workflows. Development of AI algorithms – creating predictive and decision-making models to adapt therapeutic exercises according to the patient’s performance, using historical and real-time data. Development of bidirectional haptic feedback modules – defining the optimal parameters for assistive and resistive human-machine interaction modalities, correlated with the therapeutic objectives. Integration of multimodal stimulation – designing therapy scenarios that combine physical exercises with cognitive stimulation through serious gaming and evaluating the effects on patient engagement and neuroplasticity.
Proposed experimental development activities:
Development of the functional prototype – integrating the hardware components (collaborative robot, force and position sensors, haptic modules) with the control software and the patient-therapist interface. Testing and validation of the NEUROHAPTIC system – calibrating the sensors and haptic modules, verifying the real-time response of the AI algorithms, and running therapeutic protocols on representative scenarios, followed by data analysis and optimization of the system parameters in order to maximize therapeutic efficiency.