Leijing Zhou ᱨᱮᱱᱟᱜ Repawse ᱚᱥᱨᱟ ᱡᱟᱱᱚᱣᱟᱨ ᱨᱤᱦᱮᱵᱤᱞᱤᱴᱮᱥᱚᱱ ᱮᱠᱥᱚᱥᱠᱮᱞᱮᱴᱚᱱ ᱫᱚ ᱯᱟᱞᱛᱩ ᱡᱟᱱᱣᱟᱨ ᱡᱚᱛᱚᱱ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2025 A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾
ᱨᱩᱯᱟᱯᱟᱞᱛᱩ ᱡᱟᱱᱣᱟᱨ ᱡᱚᱛᱚᱱ· 2025
Repawse ᱚᱥᱨᱟ ᱡᱟᱱᱚᱣᱟᱨ ᱨᱤᱦᱮᱵᱤᱞᱤᱴᱮᱥᱚᱱ ᱮᱠᱥᱚᱥᱠᱮᱞᱮᱴᱚᱱ
Leijing Zhou ᱞᱮᱠᱟᱛᱮ
ᱜᱟᱦᱟᱠ: Zhejiang University
ᱯᱟᱞᱛᱩ ᱡᱟᱱᱣᱟᱨ ᱡᱚᱛᱚᱱ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ
ᱡᱟᱸᱪ ᱟᱠᱟᱱ ᱮᱣᱟᱨᱰ ᱡᱤᱛᱠᱟᱨ
#172611 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪᱰᱤᱡᱟᱭᱤᱱ
Repawse ᱚᱥᱨᱟ ᱡᱟᱱᱚᱣᱟᱨ ᱨᱤᱦᱮᱵᱤᱞᱤᱴᱮᱥᱚᱱ ᱮᱠᱥᱚᱥᱠᱮᱞᱮᱴᱚᱱ ᱵᱟᱵᱚᱛ ᱛᱮ
ᱨᱤᱯᱚᱡᱽ (Repawse) ᱫᱚ ᱢᱤᱫ ᱨᱤᱦᱮᱵᱤᱞᱤᱴᱮᱥᱚᱱ ᱮᱠᱥᱚᱥᱠᱮᱞᱮᱴᱚᱱ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸ ᱫᱚ ᱛᱟᱭᱚᱢ ᱡᱟᱝᱜᱟ ᱨᱮ ᱫᱩᱠᱷ ᱢᱮᱱᱟᱜ ᱥᱮᱛᱟ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱛᱮᱭᱟᱨ ᱟᱠᱟᱱᱟ ᱾ ᱥᱟᱨᱯᱷᱮᱥ ᱤᱞᱮᱠᱴᱨᱚᱢᱟᱭᱚᱜᱽᱨᱟᱯᱷᱤ ᱥᱮᱸᱥᱚᱨ ᱠᱚ ᱵᱮᱥ ᱢᱮᱱᱟᱜ ᱞᱟᱦᱟ ᱡᱟᱝᱜᱟ ᱠᱷᱚᱱ ᱡᱤᱞ ᱨᱮᱭᱟᱜ ᱥᱤᱜᱽᱱᱟᱞ ᱠᱚ ᱯᱟᱲᱦᱟᱣᱟ, ᱟᱨ ᱢᱤᱫ ᱢᱟᱭᱠᱨᱚᱠᱚᱸᱴᱨᱚᱞᱚᱨ ᱱᱚᱶᱟ ᱥᱤᱜᱽᱱᱟᱞ ᱠᱚ ᱵᱮᱵᱷᱟᱨ ᱠᱟᱛᱮ ᱪᱚᱞᱚᱛ ᱨᱮᱭᱟᱜ ᱢᱚᱱᱮ ᱟᱸᱫᱟᱡᱚᱜᱼᱟᱭ ᱾ ᱛᱟᱭᱚᱢ ᱛᱮ ᱞᱤᱱᱤᱭᱚᱨ ᱮᱠᱴᱩᱭᱮᱴᱚᱨ ᱠᱚ ᱛᱟᱭᱚᱢ ᱡᱟᱝᱜᱟ ᱥᱟᱦᱟᱭ ᱠᱚ ᱨᱤᱭᱚᱞ ᱴᱟᱭᱤᱢ ᱛᱮ ᱠᱚ ᱪᱚᱞᱚᱛᱟ, ᱚᱱᱟᱛᱮ ᱛᱟᱲᱟᱢ ᱫᱚ ᱡᱩᱲᱟᱹᱣ ᱟᱨ ᱟᱡᱛᱮ ᱞᱮᱠᱟ ᱛᱟᱦᱮᱸᱱᱟ ᱾ ᱯᱷᱨᱮᱢ ᱫᱚ ᱮᱞᱩᱢᱤᱱᱤᱭᱚᱢ ᱮᱞᱚᱭ ᱛᱮ ᱛᱮᱭᱟᱨ ᱟᱠᱟᱱᱟ, ᱵᱷᱤᱛᱨᱤ ᱚᱥᱛᱚᱨ ᱫᱚ ᱱᱚᱨᱚᱢ ᱢᱮᱢᱚᱨᱤ ᱯᱷᱚᱢ ᱛᱮ, ᱟᱨ ᱛᱟᱞᱠᱟ ᱫᱚ ᱵᱟᱝ ᱛᱮᱨᱞᱚᱜ ᱨᱚᱵᱚᱨ ᱛᱮ ᱾ ᱦᱚᱲᱢᱚ ᱥᱠᱮᱱ ᱠᱷᱚᱱ ᱡᱤᱱᱤᱥ ᱠᱚ ᱓ᱰᱤ ᱯᱨᱤᱱᱴ ᱟᱠᱟᱱᱟ ᱡᱮᱢᱚᱱ ᱢᱤᱫᱴᱮᱱ ᱡᱟᱱᱚᱣᱟᱨ ᱞᱟᱹᱜᱤᱫ ᱴᱷᱤᱠ ᱟᱥᱚᱠ ᱟᱨ ᱰᱷᱮᱨ ᱟᱨᱟᱢ ᱧᱟᱢᱚᱜᱼᱟ ᱾
ᱢᱟᱱᱟᱱ
A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ
Repawse ᱚᱥᱨᱟ ᱡᱟᱱᱚᱣᱟᱨ ᱨᱤᱦᱮᱵᱤᱞᱤᱴᱮᱥᱚᱱ ᱮᱠᱥᱚᱥᱠᱮᱞᱮᱴᱚᱱ ᱫᱚ A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱥᱩᱱᱫᱚᱨ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Repawse ᱚᱥᱨᱟ ᱡᱟᱱᱚᱣᱟᱨ ᱨᱤᱦᱮᱵᱤᱞᱤᱴᱮᱥᱚᱱ ᱮᱠᱥᱚᱥᱠᱮᱞᱮᱴᱚᱱ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾
ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ
ᱯᱨᱮᱥ ᱠᱤᱴ
ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾
- ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ
- In response to the rehabilitation needs of disabled pets, we have developed a canine rehabilitation exoskeleton based on surface electromyographic (sEMG) control. By collecting sEMG signals from the healthy forelimb, the system drives the hindlimb actuators in real time to synchronise gait. Combined with 3D printing for custom design, it provides precise movement assistance for disabled dogs, embodying the technological protection of animal life dignity.
- ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ
- Dimensions: 220mm × 200mm × 540mm
Materials: Aluminum alloy frame, soft memory foam lining, rubber soles
Technology: Surface EMG sensors, linear actuators, microcontroller-based control
Power source: Rechargeable lithium battery, 7.4V, 5000mAh - ᱴᱮᱜ ᱠᱚ
- Pet Rehabilitation, Animal Welfare, Exoskeleton, sEMG Signal, Active Control, 3D-Printing, Customized Design, Assistive Mobility
- ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ
- The exoskeleton is produced through advanced 3D printing technology allowing individual customization based on precise body scans. Lightweight, durable materials, including soft memory foam lining, aluminum alloy for structural parts, and anti-slip rubber soles, ensure strength, comfort, and safety in daily use.
- ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ
- The primary challenge was accurately interpreting animal intention through muscle signals, with few existing precedents or standards. Historically, disabled pets faced limited and uncomfortable assistive solutions. Technologically, creating lightweight yet robust actuators and ensuring comfort required extensive material research, innovative mechanical design, and iterative prototyping with real pets.
- ᱜᱚᱵᱮᱥᱚᱱᱟ
- This project originated from a news report on prosthetic limbs for disabled pets, highlighting the pros and cons of current solutions. Inspired, we explored transferring active-control exoskeleton technology—originally developed for stroke patients—to veterinary rehabilitation. Through extensive field research, EMG data collection from animals, iterative predictive modeling, and mechanical prototyping, we successfully created an intelligent, active-assist exoskeleton for pets.
- ᱯᱨᱮᱨᱚᱱᱟ
- The inspiration for this project originated from a news report highlighting customized prosthetics for disabled pets, exposing significant limitations in current solutions. Coupled with my personal experience of caring for my own dog after its hindlimb injury, I recognized the broader societal need to extend humane, intelligent rehabilitation technology from human healthcare into pet care, ultimately enhancing animal welfare.
- ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ
- The project started in 2023 in Hangzhou and finished in March 2025 in Hangzhou.
- ᱠᱟᱹᱢᱤ ᱦᱚᱨ
- When the dog walks, sensors detect muscle signals (sEMG) from the healthy forelimb. These signals are processed to predict the movement intention of the impaired hindlimb, triggering linear actuators in real time. This active, intuitive assistance ensures natural movement, aiding rehabilitation efficiently.
- ᱴᱤᱢ ᱥᱮᱫᱟᱭ ᱠᱚ
- Menghan Li
Leijing Zhou
Xinmiao Shen
Xiaofei Gong
Xiaotong Guan
Ding Ding
Jinjie Li
Qianyi Wang
Keyin Chen
Zixiang Wang
Zihan Zhang
ᱥᱯᱚᱱᱥᱚᱨᱰ
Designers.org ᱠᱷᱚᱱ ᱯᱟᱨᱚᱢ ᱛᱟᱞᱟᱥ
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ᱢᱤᱫ ᱞᱮᱠᱟ ᱠᱮᱴᱮᱜᱚᱨᱤ ᱠᱷᱚᱱ ᱟᱨᱦᱚᱸ ᱯᱩᱨᱥᱠᱟᱨ ᱧᱟᱢᱟᱠᱟᱱ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱧᱮᱞ ᱢᱮ, ᱡᱚᱜᱭᱟᱛᱟ ᱧᱮᱞ ᱛᱮ ᱵᱟᱪᱷᱟᱣ ᱟᱠᱟᱱᱟ᱾
