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Wearable Soft Robot

Our lab leads the Brain group in the ERC Soft Robotics Research Center at Seoul National University. We facilitate machine learning approaches in applications to solve problems regarding soft robotics, especially, control and situation awareness of flexible robots and soft wearable robots.

Biomedical Intelligence/Healthcare
Deep Learning
Wearable Soft Robot

Vision-based Intention Detection for Hand Rehabilitation

For stroke survivors, diminished hand functions limit their ability to perform Activities of Daily Living (ADLs). To help stroke survivors perform rehabilitation exercises, soft robotic gloves have been utilized to assist them in actively practicing Read more…

By , 5 months ago March 18, 2022
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Deep Learning
Wearable Soft Robot

Grasping deformable objects with soft wearable robotic glove

Soft wearable robotic gloves based on tendon-sheath mechanism are widely developed for assisting people with a loss of hand mobility. For these robots, knowing the fingertip forces applied to deformable objects is crucial in successfully Read more…

By , 12 months ago August 26, 2021
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Deep Learning
Wearable Soft Robot

Data-driven multi-array sensor calibration method

While data-driven approaches could model complex sensor patterns, the required amount of labeled data increases exponentially as the number of contact points or the number of sensor subelements increase. We propose a novel deep learning Read more…

By , 2 years ago October 12, 2020
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Deep Learning
Wearable Soft Robot

A deep-learned epicentral skin sensor for decoding human motions

We develop an ultra-sensitive skin-like sensor that discovers previously undetectable signals far from the joint, assisted by a deep neural network that deciphers patterns within the signals. By utilizing a single sensor capable of extracting Read more…

By , 2 years ago April 27, 2020
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Biomedical Intelligence/Healthcare
Deep Learning
Wearable Soft Robot

BT-LSTM for fingertip force estimation of soft hand robot

Soft wearable hand robots with tendon-sheath mechanisms are being actively developed to assist people with lost hand mobility. For these robots, accurately estimating fingertip forces leads to successful object grasping. An approach can utilize information Read more…

By , 3 years ago January 3, 2020
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Biomedical Intelligence/Healthcare
Deep Learning
Wearable Soft Robot

Augmented Intelligence for Wearable Soft Robot

Developing Soft Robotics To Assist Users With Hand-Object Interactions     For hand robots that assist with activities of daily living, this study presents a paradigm for learning-based intention detection based methodologies that perceive user Read more…

By , 4 years ago January 31, 2019
Deep Learning
Wearable Soft Robot

Human gait generation with two wearable soft sensors only

  We present a gait motion generating method using only two microfluidic sensors. We select appropriate sensor positions with consideration of the deformation patterns of the lower-limb skins and mutual interference with soft actuators. A Read more…

By , 4 years ago October 19, 2018
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Deep Learning
Explainable AI Interfaces
Wearable Soft Robot

Deep Full-Body Motion Network for Soft Wearable Suit

  We propose use of deep learning for full-body motion sensing, which significantly increases efficiency in calibration and estimation. The sensing suit is made of stretchable fabric and contains 20 soft strain sensors distributed on Read more…

By , 4 years ago May 22, 2018
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Deep Learning
Explainable AI Interfaces
Wearable Soft Robot

Deep Learning for Microfluidic Soft Sensors

Soft sensors made of highly deformable materials are one of the enabling technologies to various soft robotic systems. However, major drawbacks of soft sensors compared with traditional sensors are their nonlinearity and hysteresis in response, Read more…

By , 4 years ago April 19, 2018
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