Self-Wearing Robotic Garment Demonstrated by KAIST and Stanford Researchers
At a glance
- KAIST and Stanford developed the SWAG robotic garment system
- SWAG uses inflatable tubes to help users dress more easily
- Prototype was demonstrated in South Korea in July 2026
Researchers from KAIST and Stanford University have created a soft robotic garment system designed to assist individuals with dressing, focusing on support for older adults and people with mobility challenges.
The Self-Wearing Adaptive Garment (SWAG) system integrates inflatable “vine” robots into clothing fabric, enabling the garment to move along the body and turn itself inside out using air pressure. This approach is intended to reduce friction between the garment and the skin while adapting to the wearer’s shape.
The SWAG system was publicly demonstrated at KAIST in Daejeon, South Korea, on July 14, 2026. The demonstration was led by Kim Nam Gyun, a postdoctoral researcher and soft robotics engineer at KAIST.
The concept for the technology originated when Kim Nam Gyun considered the potential usefulness of a raincoat that could automatically dress a person during a rainy bike ride. The research team aimed to address the needs of individuals who may require assistance with daily dressing tasks.
What the numbers show
- The SWAG system can put on a full suit in about 10 seconds
- A jacket can be donned in approximately 13 seconds
- Pants require roughly 21 seconds to be put on by the system
The SWAG prototype avoids the use of rigid robotic arms by relying on soft, air-inflated tubes that unfurl to move the garment. This physical design reduces the need for complex control software and may simplify the hardware required for dressing assistance.
According to the research published in IEEE Robotics and Automation Letters in early 2026, the SWAG system was developed by a team including Nam Gyun Kim, William E. Heap, Yimeng Qin, Elvy B. Yao, Jee-Hwan Ryu, and Allison M. Okamura.
The system is intended to support independent living by helping older adults, people with disabilities, and rehabilitation patients dress with less reliance on caregivers. The garment’s ability to conform to the body and reduce skin-garment friction is a key feature of its design.
By embedding soft robotic elements into everyday clothing, the researchers aim to provide a practical solution for individuals who experience difficulty with dressing, using a method that prioritizes comfort and ease of use through physical mechanisms rather than advanced software controls.
* This article is based on publicly available information at the time of writing.
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