The Exoskeleton and Prosthetic Intelligent Controls (EPIC) Lab at Georgia Tech | Led by Dr. Aaron Young | @GeorgiaTech

Atlanta, GA
Joined December 2019
Great work @dawit_lee!
Great new work from @GT_EPIC_Lab ! Moving Assistive Mobility Forward with AI presents an exoskeleton controller that holistically captures major terrain variations encountered during community walking in real-time🤖👨‍🔬💫💫 research.gatech.edu/robotics…
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Great new work from @GT_EPIC_Lab ! Moving Assistive Mobility Forward with AI presents an exoskeleton controller that holistically captures major terrain variations encountered during community walking in real-time🤖👨‍🔬💫💫 research.gatech.edu/robotics…
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Our work newly published in Science Advances, presents an AI-based exoskeleton controller able to estimate states of ground slope and gait phase to provide assistance for community ambulation. science.org/doi/10.1126/scia…
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The AI-based controller gives improved metabolic reductions in comparison to conventional assistance approaches with no specific tuning needed! The system can function in multiple real-word terrains with varying slopes.
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The dataset used to train the deep learning models and the CAD for the exoskeleton is all available for other researchers to use in their own work. hdl.handle.net/1853/76519
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Proud and excited to finally share this awesome project in Nature! We used a real-time data-driven estimate of biological joint moment as a continuous, task-agnostic signal to base our exoskeleton actuator torque around. nature.com/articles/s41586-0…
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Engineers in @MEGeorgiaTech @GT_EPIC_Lab have created an AI-driven controller for robotic exoskeletons that helps users in dozens of real-world tasks — even those it wasn’t trained for. Out today in @Nature: b.gatech.edu/40Eq75C
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EPIC Lab retweeted
Wearable robots that assist leg movements could transform the lives of people with reduced mobility — but only if the devices can adapt in real time to support a vast range of human activities go.nature.com/48LTvZy
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In our new Nature publication, we present a deep learning-based, task-agnostic exoskeleton controller evaluated on over 30 human activities – a major effort towards real-world viability of exoskeletons. nature.com/articles/s41586-0…
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We’ve also released the 25-participant dataset of human biomechanics and exoskeleton sensor data used to train and validate our approach, including activities like walking, running, jumping, and cutting: repository.gatech.edu/handle…
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Generalizing exoskeleton control across activities is a key challenge in bridging the gap to real-world viability. Our work contributes directly to this challenge – leveraging human biomechanics opposed to discretized descriptions of human movement.
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Some big EPIC lab work featured in this years Woodruff Buzz! Read about our projects on machine learning based state estimators, powered prosthesis control, pediatric rehab, and balance augmentation (p38-39).
The fiscal last year has been nothing short of a huge success! The Woodruff School's annual magazine, Woodruff Buzz, is filled with buzzworthy stories related to student success, research preeminence, and community and culture. Bit.ly/2023-24-annual-magazi…
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Check out PoWeR labbies at ASB 2024! We’re showcasing the lab’s awesome work through posters/thematic sessions, plus @KJakubowski26 @jenniferleestma leading some great convos in their symposiums! @AmSocBiomech
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Make sure to check us out at #ASB2024! We have some great work on wearable sensing, machine learning, and powered protheses!
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Congratulations to Dr. Scherpereel! This Tuesday, Keaton successfully defended his PhD and became the newest graduate from the EPIC lab (co-advised by Aaron Young and Omer Inan).
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Our new paper is out now - "A data-driven approach to estimate human center of mass state during perturbed locomotion using simulated wearable sensors" in Annals of Biomedical Engineering! Paper: doi.org/10.1007/s10439-024-0… @GT_EPIC_Lab @GT_PoWeR_Lab @gregory_sawicki
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