Team Chiron
Making remote autonomous triage a reality
Team Chiron : Making remote autonomous triage a reality
Developing robotic systems that asses casualties and monitor vital signs, optimizing first responder deployment.

Our work is supported by our sponsors. Will you join us in making a difference? Email Us

We, a Carnegie Mellon University based team, are competing at the DARPA Triage Challenge (DTC)


Ensure scalable, timely, and accurate triage by developing noninvasive, remote detection methods for injury assessment


Employ autonomous robots to identify and classify human injuries from a distance of 1-10 meters, without physical contact, to help medical responders perform timely, and accurate triage

Novel Technology

Measure physiological features using compact, multi-modal sensor packs. Assess injuries with devices like VIS/SWIR imaging, thermal cameras, radar, and motion-tracking LiDAR. Navigate challenging environments using autonomous robots equipped with SLAM for enhanced sensing and diagnostics.


Nov 2023

DARPA Triage Challenge Kickoff

Mar 2024

First Demonstration of the system

Jun 2024

Phase 1 Qualification Challenge

Sep 2024

Phase 1 Competition

Fall 2025

Phase 2 Competition

Fall 2026

Phase 3 Competition

The Team

Team Chiron consists of professors, physicians, researchers, and students with a wide range of experience in robotics and medicine

Meet some of our team leads below


Dr. Kimberly Elenberg

Programmatic Lead, Leading PI

Principal Scientist

Auton Lab, CMU


Dr. Sebastian Scherer

Autonomous Robotics Lead, Co-PI

Associate Research Professor

AirLab, CMU


Dr. Artur Dubrawski

AI/ML Systems Lead

Research Professor

AutonLab, CMU


Dr. John Galeotti

Medical Imaging AI Lead

Systems Scientist and Adjunct Asst. Prof.

Biomedical Image Guidance Lab, CMU


Dr. Laszlo Jeni

Assistant Research Professor



Dr. Srinivasa Narasimhan




Dr. Lenny Weiss

Assoc. Prof. of Emergency Medicine

University of Pittsburgh


Join Us

We are seeking technology partners and funding sponsors to join this important effort in health technology, robotics, and the advancement of sensing capabilities.

Our sponsorship benefits

Lead Technological Innovation

Position your organization at the forefront of advancements in stand-off physiological sensing, contributing to a significant and impactful solution.

Enhance Brand Visibility

Build your company’s profile among top robotics, engineering, and AI talents, enhancing your brand recognition in these critical fields.

Collaborative Opportunities

Gain the opportunity to send a visiting researcher to CMU to collaborate directly with our team, fostering hands-on involvement and exchange of expertise.

Contribute and Collaborate

Become an integral part of the team by contributing technologies, such as user interface development or sensor technology, to this groundbreaking project.

Reach out for more information and/or collaboration inquiry

RI, Squirrel Hill Location, CMU, 1723 Murray Ave, Pittsburgh, PA 15217

Phone: (412) 589-9581