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Systems Competition | Event 2

Smoke, Darkness, and Obfuscation
 

Courses
 

Night Ambush

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LiDAR-equipped UGV exploring the Night Ambush course at Workshop 2 event. DARPA | Tom Shortridge

C130 Crash

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Quadruped UGV surveying course for C130 crash at Workshop 2 event. DARPA | Paul Flacks

 

From Casualty Mapping to Responder-ready Tools

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In Challenge Event 2, teams are required to operate with full autonomy as well as accurately geolocate casualties. Degraded sensing, dynamic physiological changes and walking casualties will significantly add difficulty to the challenge. To win a prize, teams must pass casualty localization and triage accuracy thresholds. Teams must also develop a user interface designed for use by first responders.

 

Technical Challenge Elements

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Degraded Sensing
The courses are expected to include elements that range from constrained passages to large fields, lighted areas to complete darkness, and wet to dusty conditions. Sensors will need to have the dynamic range to operate reliably in these environments. Dust, fog, mist, smoke, talking, flashing light, hot spots, and gunshot and explosion sounds are within scope of this challenge element. Extreme temperatures, fire, tremors, and hazardous materials are not expected to be within scope.
 
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Obscuring Obstacles
Casualties may be fully visible to partially obscured to completely obscured, such as buried under a shallow layer of rubble. Sensor modalities capable of penetrating rubble may have an advantage in such situations. Casualties may also be grouped with limbs overlapping, or may be interacting with live responders.
 
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Terrain Obstacles
The competition scenarios will be held in realistic environments that may include natural or human-made materials; structured or unstructured clutter; and intact or collapsed structures and debris. Robotic mobility is not the focus of this challenge and it is expected that widely available outdoor robotic platforms will be capable of navigating the competition environments. In some cases, more robust platforms may benefit from more direct navigation paths or closer approach paths to casualties.
 
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Dynamic Obstacles
Live responders, ambulatory wounded, or other physical changes to the environment may be included to test the agility of the system autonomy to identify and assess casualties.
 
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Dynamic Casualties
Some treatable injuries may rapidly become fatal, and delays in finding and assessing casualties may result in missing the window for effective LSI. While competitors are not expected to re-evaluate casualties for changes in status, casualties who are not evaluated within an appropriate timescale may have a change in status (for example, progression of untreated hemorrhage or airway injury).
 
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Endurance Limits
It is expected that individual scenarios will run <30 minutes. Teams may be permitted to replace batteries during their run, but teams should consider the implications of returning to the original launch location and redeploying their systems Real-world systems will use stand-off sensors on platforms to locate and triage casualties in the field.
 
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Teams
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Qualified funded and unfunded teams participated in the competitions, striving to advance the use of autonomous systems for rapid, stand-off casualty assessment to facilitate timely and accurate medical triage.

  • AIR TAGS
  • Chiron
  • Coordinated Robotics
  • DART
  • PRONTO
  • RoboScout
  • Robotika
  • TTT
  • UAS-DTU

See all teams | Team qualifications

 Artist's concept: Using data captured by stand-off sensors onboard autonomous systems, uncrewed aerial and ground vehicles assess injuries during a mass casualty event to determine treatment priorities, allowing medical care professionals to quickly focus on the most urgent casualties.
Artist's concept: Using data captured by stand-off sensors onboard autonomous systems, uncrewed aerial and ground vehicles assess injuries during a mass casualty event to determine treatment priorities, allowing medical care professionals to quickly focus on the most urgent casualties. Source: DARPA | Jahyra Catala
Timeline
Challenge Event 2
2025
Workshops
SystemsMarch 10
DataMarch 17
Competitions
Systems, DataSept. 28
Awards
CeremonyOct. 4

Overview
 

Challenge Event 1

2024

Competitions
Systems  |  Data |  Virtual

Challenge Event 2

2025

Competitions
Systems  |  Data

Challenge Event 3

2026

Competitions
Systems  |  Data

 

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