ReWing provides the EDUSA PRO‑r, an AI‑driven robotic platform that programmatically manipulates the hand, wrist, and forearm for research and clinical rehabilitation. The system offers four interaction modes—active, passive, assistive, and resistive—automatically tailored to each user, with high‑resolution sensing, real‑time control, and open integration for EMG, EEG, and other sensors. It is designed for neuroscience, biomechanics, and rehabilitation labs as well as clinical centers serving pediatric to adult patients.
Funding
Funding not disclosed
Founders
Product
Problem
Patients with orthopedic or neurological motor impairments often lack access to precise, adaptable rehabilitation tools that can assess and train wrist and forearm function across a wide range of movement patterns and force conditions. Existing devices are typically limited to clinical settings, fixed protocols, and do not integrate AI-driven personalization, restricting research and therapy effectiveness.
Solution
ReWing offers the EDUSA PRO‑r, a robotic platform that enables detailed, programmable manipulation of the hand, wrist, and forearm for both research and clinical rehabilitation. The system provides four interaction modes—active, passive, assistive, and resistive—automatically adjusted by ReWing’s AI software to match each user’s capabilities. Its ergonomic lock mechanism isolates joint movements, while adjustable arm supports accommodate users from age 4 to adults in seated, standing, or supine positions. Real‑time control at 1 kHz and high‑resolution position sensing (0.00006°) deliver precise force fields and resistance profiles, and the device synchronizes with external sensors (EMG, EEG) via an open data interface. Researchers and clinicians can design custom protocols, export high‑frequency data, and integrate results into broader experimental setups or therapy workflows.
Target Audience
Primary customers are neuroscience, biomechanics, and rehabilitation research labs, as well as clinical centers conducting motor‑control or orthopedic rehabilitation studies that require precise, programmable wrist‑forearm instrumentation.
Features
- Four AI‑driven interaction modes (active, passive, assistive, resistive) with automatic difficulty adaptation
- Full three‑degree‑of‑freedom wrist articulation covering the complete human range of motion
- High‑precision joint isolation via ergonomic lock mechanism and 0.00006° position resolution
- Adjustable arm and elbow configurations supporting pediatric (4 yr) to adult users in sit, stand, or bed positions
- Dual‑screen interface: researcher GUI and participant VR display for immersive feedback
- Integrated textile grip sensor for accurate force assessment and real‑time data acquisition at 1 kHz
- Open synchronization channels for EMG, EEG, and other third‑party devices, enabling multimodal studies
- Exportable data formats for post‑experiment analysis and integration with research pipelines