The Exoskeleton and Prosthetic Intelligent Controls (EPIC) Lab at Georgia Tech | Led by Dr. Aaron Young | @GeorgiaTech
Joined December 2019
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52 Photos and videos
5 Feb 2025
Another great highlight on our recent nature publication!
x.company/blog/posts/skip-na…
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20 Dec 2024
Great work @dawit_lee!
19 Dec 2024
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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EPIC Lab retweeted
19 Dec 2024
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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18 Dec 2024
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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18 Dec 2024
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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18 Dec 2024
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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EPIC Lab retweeted
13 Nov 2024
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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EPIC Lab retweeted
13 Nov 2024
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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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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13 Nov 2024
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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13 Nov 2024
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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13 Nov 2024
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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27 Aug 2024
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).
26 Aug 2024
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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EPIC Lab retweeted
5 Aug 2024
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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5 Aug 2024
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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25 Apr 2024
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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EPIC Lab retweeted
17 Apr 2024
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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