Objectives



Hope2Walk aims to develop, test and validate (at TRL 4) an experimental model for the treatment of monoparesis of the lower limb in the form of a new product consisting of an innovative robotic system integrating two robotic modules, internal and external sensors and improved control.

The main objectives of the project:

(O1) Defining a new medical protocol for the medical recovery of bedridden patients with motor deficits in the lower limbs, with emphasis on patient-centered therapeutic strategies including individual joint mobilization, combined movements of the lower limb, multiple strategies of HRI and FES

(O2) A performance-based critical analysis of the RAISE robotic system and its independent modules, identifying the specific improvements required to move from TRL3 to TRL 4 technology maturity level for the experimental model, including the ability to use the ankle module separately..

(O3) Development of the complete RAISE robotic system including integration into the clinical environment, individual modules for specific patient needs, assistive HRI functionality and FES integrated into the robot control system.

(O4) Development of an interactive and patient-centered user interface with the ability to perform various exercises, configure the electrical stimulation system, and a patient database with progress monitoring tools.

(O5) Experimental testing and validation of the Hope2Walk robotic system at the technological maturity level TRL4 based on the medical protocol by demonstrating under the supervision of medical personnel the performance of each module in terms of functionality and the potential to achieve motor recovery of the lower limb of bedridden patients.



To achieve the goal of the project, the following steps will be taken:

(Stage 1-2022): Critical analysis and optimization of the experimental model of the RAISE robot

Results stage 1:

KPIs required for TRL4

Validated solution for robot frame with connection to recovery bed

Medical protocol for robotically assisted recovery of the lower limb

(Stage 2-2023)  Integration of electrical stimulation equipment, assistive control functions and artificial intelligence agents for enhanced personalized treatment

Results stage 2:

FES and torque based control solution

External sensor system mounted on the patient's body

Protocol for new therapy schemes with the integration of new functionalities

Set of artificial intelligence agents integrated into the robotic system

(Stage 3- 2024): Development of the optimized experimental model. Testing and validating the RAISE robotic system for TRL4

Results stage 3:

1 decision algorithm and 1 user interface

The experimental model of the RAISE robot

1 RAISE robotic system validation report

1 optimized model of the RAISE robot