Jason Hughes
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jasonahughes.bsky.social
Jason Hughes
@jasonahughes.bsky.social
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UPenn GRASP PhD Candidate | 🤖

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Sociology 38%
Political science 38%
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Reposted by Jason Hughes

marcelhussing.bsky.social
Marcel Hussing @marcelhussing.bsky.social · 21d
This project is a huge team effort across @grasplab.bsky.social and Penn trauma led by PIs @ericeaton.bsky.social and CJ Taylor. Shoutout to @jasonahughes.bsky.social, Raj Kannapiran, and Edward Zhang who did a lot of the heavy lifting. Check out the technical report arxiv.org/abs/2512.08754 (5/5)
A Multi-Robot Platform for Robotic Triage Combining Onboard Sensing and Foundation Models
This report presents a heterogeneous robotic system designed for remote primary triage in mass-casualty incidents (MCIs). The system employs a coordinated air-ground team of unmanned aerial vehicles (...
arxiv.org

Reposted by Jason Hughes

marcelhussing.bsky.social
Marcel Hussing @marcelhussing.bsky.social · 21d
Then the ML takes over. Onboard models estimate breathing and heart rate from radar and thermal, and read injuries from multi view images and audio. Fine tuned VLMs plus Grounding DINO and SAM2 convert data into a triage report for responders. (4/5)

Reposted by Jason Hughes

marcelhussing.bsky.social
Marcel Hussing @marcelhussing.bsky.social · 21d
Our robots do the dangerous first pass. Falcon drones sweep the scene from above using RGB and thermal cameras to detect and geolocate casualties in day or night. Jackal ground robots then drive in for close up sensing and send a live victim map to responders. (3/5)

Reposted by Jason Hughes

marcelhussing.bsky.social
Marcel Hussing @marcelhussing.bsky.social · 21d
In this project, we are building a multi-robot system to facilitate the process of triage. The system consists of a fleet of Jackal ground robots and several in-house built Falcon drones which rapidly scan an area, localize people in need and help determine their injuries. (2/5)

Reposted by Jason Hughes

marcelhussing.bsky.social
Marcel Hussing @marcelhussing.bsky.social · 21d
In emergencies, minutes can decide who lives and who dies. Our team is participating in the Triage Challenge, building AI to empower clinicians and prioritize care when resources are thin:
prontotriage.com

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