Translational Research Program for Rehabilitation Robots (TRPRR)
Background of TRPRR
- The rehabilitation robot market is estimated to grow at a CAGR of 27.15% between 2022 and 2027. The size of the market is forecast to increase by USD 1953.05 million.
- To accelerate the entry of robotic devices into the rehabilitation robot market and construct the necessary infrastructure for clinical applications.
- To extend “translational research” to diverse people with disabilities including Public Works Department.
Objective of TRPRR
- Provides optimal infrastructure for commercialization of rehabilitation robotic devices and for the growth of rehabilitation robot business.
- Assists the elderly and people with disabilities through translational research on advanced technology.
- Burgeons market and industries by supporting clinical trials for newly-developed rehabilitation robots and its commercialization process.
NRC-TRPRR Intramural Projects
- Supporting intramural research for Translational research infrastructure on National Rehabilitation Center.
NRC-TRPRR Extramural Projects
- Supporting extramural research in enterprises, research institute, universities etc for a rehabilitation robot based on existing robot technology to activate clinical entry.
Rehabilitation Robot Gym: Testbed for Rehabilitation Robots
- To maximize patient recovery using therapeutic robotics.
- To initiate to build a scientific basis for the best rehabilitation practice.
- To share a testbed leading edge technology on the effective robotic rehabilitation.
- To provide a testbed to enhance clinical productivity.
Achievements of TRPRR (2013~2024) by Intra and Extra-mural Projects
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1. Exo-Glove Soft Wearable Robot for The Hand
Development and commercialization of the soft wearable robot for hand, Seoul National University, 2015
- Changing material from cloth to polymer. In, H., Kang, B. B., Sin, M., & Cho, K. J. (2015)
- Exo-Glove: a wearable robot for the hand with a soft tendon routing system. Robotics & Automation Magazine, IEEE, 22(1), 97-105.
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2. NRC GT
Translation research for commercializing a low-price upper and lower limb gait trainer, National Rehabilitation Center (NRC), 2015
- 4 bar linkage-based drive system Technology transfer from NRC
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3. NREX
Research on interactive rehabilitation robot focused on gait and upper limb rehabilitation environment, National Rehabilitation Center (NRC), 2015
- Technology transfer from NRC
- Cho, K. H., & Song, W. K. (2015). Robot-Assisted Reach Training for Improving Upper Extremity Function of Chronic Stroke. The Tohoku journal of experimental medicine, 237(2), 149-155.
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4. ANGELEGS
Development of a Wearable Rehabilitation Robot for Lower Limb Paralysis(2023)
- Established groundwork for medical reimbursement of wearable exoskeletons
- Aimed to lead in rehabilitation robotics for gait recovery in incomplete paraplegia and monoplegia
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5. R-BoT plus
Development of Upper and Lower Limb Strengthening Rehabilitation Robot with Training Modes and VR Program(2024)
- Designed for early rehabilitation of patients with severe central nervous system injuries due to stroke, spinal cord injury, traumatic brain injury, Parkinson’s disease, or multiple sclerosis
- Provides intensive sensory stimulation to promote patient recovery
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6. ANGELEGS
Development of a Wearable Rehabilitation Robot for Lower Limb Paralysis(2023)
- A simplified rehabilitation robot* enabling diverse bilateral arm/hand movements based on user feedback, biosignals, stimulation, and motor learning theory, suitable for use in both clinics and home settings
- Includes a simple, affordable home-use upper limb rehabilitation robot supporting movements related to daily living activities
Summary
- The translational research, reverse translational research and clinical research are currently being performed intra- and extra- murally in order to make a synergy.
- This program pursues boosting of industry related with rehabilitation robots by helping them enter the market.
Reference
Statistics Korea, Population Projections (2011) International Federation of Robotics, World Robotics (2009) Nature 453, 840-842 (2008)
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