Live · The Road to Autonomy Indices
.RCI · Robotaxi Confidence Index 50.1 ▼ +0.1 .ADLCI · Autonomous Driving Licensing Confidence Index 33.5 ▲ +0.8 .ATCI · Autonomous Trucks Confidence Index 33.8 ▼ +0.2 .DCI · Delivery Bots Confidence Index 58.8 ▼ +0.2 NeolixCN 82.3 ▼ -2.2 Baidu Apollo GoCN 81.1 ▼ -0.3 WaymoUS 78.1 ▼ -2.7 Starship TechnologiesEE 76.4 ▲ +7.0 Serve RoboticsUS 65.4 ▼ -3.7 WeRideCN 62.1 ▲ +3.4 Pony.aiCN 60.7 ▼ -3.8 ZooxUS 50.1 ▼ -0.8 Applied IntuitionUS 46.3 ▲ +2.3 DeepRoute.aiCN 45.6 ▲ +6.8 KodiakUS 45.5 ▼ -1.2 TeslaUS 41.4 ▼ -3.8 AuroraUS 41.0 ▼ -1.3 MeituanCN 40.9 ▲ +12.4 Avride PodUS 39.7 ▲ +4.3 MomentaCN 39.1 ▲ +7.8 CocoUS 37.0 ▲ +0.4 Bot AutoUS 36.5 ▼ -0.7 DoorDash DotUS 33.6 – 0.0 AvrideUS 32.5 ▲ +2.5 May MobilityUS 32.3 ▼ -0.2 MotionalUS 31.9 ▲ +0.8 Volvo Autonomous SolutionsSE 30.4 ▼ -1.1 MobileyeIL 28.5 ▼ -1.2 TorcUS 26.6 ▼ -1.0 Cao Cao MobilityCN 25.4 ▼ -2.9 WayveGB 24.8 ▲ +1.4 Didi Autonomous DrivingCN 24.5 ▲ +3.1 XPengCN 24.3 ▼ -0.7 AutobrainsIL 21.9 ▲ +0.3 NuroUS 21.0 – 0.0 WaabiCA 20.3 ▼ -0.2 VerneHR 19.6 ▲ +1.5 Helm.aiUS 17.9 ▼ -1.1 PlusAIUS 15.4 ▲ +1.5 MOIA AmericaDE 14.1 ▼ -11.5 Tensor AutoUS 12.0 ▼ -7.2 Stack AVUS 10.9 ▼ -5.9 HUMAINSA 2.1 – 0.0 .RCI · Robotaxi Confidence Index 50.1 ▼ +0.1 .ADLCI · Autonomous Driving Licensing Confidence Index 33.5 ▲ +0.8 .ATCI · Autonomous Trucks Confidence Index 33.8 ▼ +0.2 .DCI · Delivery Bots Confidence Index 58.8 ▼ +0.2 NeolixCN 82.3 ▼ -2.2 Baidu Apollo GoCN 81.1 ▼ -0.3 WaymoUS 78.1 ▼ -2.7 Starship TechnologiesEE 76.4 ▲ +7.0 Serve RoboticsUS 65.4 ▼ -3.7 WeRideCN 62.1 ▲ +3.4 Pony.aiCN 60.7 ▼ -3.8 ZooxUS 50.1 ▼ -0.8 Applied IntuitionUS 46.3 ▲ +2.3 DeepRoute.aiCN 45.6 ▲ +6.8 KodiakUS 45.5 ▼ -1.2 TeslaUS 41.4 ▼ -3.8 AuroraUS 41.0 ▼ -1.3 MeituanCN 40.9 ▲ +12.4 Avride PodUS 39.7 ▲ +4.3 MomentaCN 39.1 ▲ +7.8 CocoUS 37.0 ▲ +0.4 Bot AutoUS 36.5 ▼ -0.7 DoorDash DotUS 33.6 – 0.0 AvrideUS 32.5 ▲ +2.5 May MobilityUS 32.3 ▼ -0.2 MotionalUS 31.9 ▲ +0.8 Volvo Autonomous SolutionsSE 30.4 ▼ -1.1 MobileyeIL 28.5 ▼ -1.2 TorcUS 26.6 ▼ -1.0 Cao Cao MobilityCN 25.4 ▼ -2.9 WayveGB 24.8 ▲ +1.4 Didi Autonomous DrivingCN 24.5 ▲ +3.1 XPengCN 24.3 ▼ -0.7 AutobrainsIL 21.9 ▲ +0.3 NuroUS 21.0 – 0.0 WaabiCA 20.3 ▼ -0.2 VerneHR 19.6 ▲ +1.5 Helm.aiUS 17.9 ▼ -1.1 PlusAIUS 15.4 ▲ +1.5 MOIA AmericaDE 14.1 ▼ -11.5 Tensor AutoUS 12.0 ▼ -7.2 Stack AVUS 10.9 ▼ -5.9 HUMAINSA 2.1 – 0.0
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DARPA RACER - The Road to Autonomy

An Inside Look into DARPA’s RACER Program

Stuart Young, Program Manager, Tactical Technology Office, DARPA joined Grayson Brulte on The Road to Autonomy podcast to discuss DARPA’s RACER (Robotic Autonomy in Complex Environments with Resiliency) Program and the development of high-speed autonomous vehicles capable of navigating unstructured off-road terrain without maps or GPS.

The operational backbone of this program is a departure from the breadcrumb approach of the Grand Challenge, challenging robots to navigate complex, unstructured environments at speeds faster than manned formations. By removing the dependency on pre-existing maps and GPS, DARPA is forcing the autonomous systems to generalize across environments.

In the field, RACER has rigorously tested platforms ranging from modified Polaris RZRs to Textron M5 tracked vehicles across diverse landscapes, including the Mojave Desert, Camp Roberts, and Fort Hood. This ecosystem has not only spurred the creation of companies such as Overland AI and Field AI but also demonstrated tactical relevance, as seen when the 11th Armored Cavalry Regiment utilized RACER technology as an opposition force at the National Training Center.

Looking ahead, Stuart envisions a future where autonomy shifts from simple movement to strategic maneuver, enabling a single operator to command platoons of vehicles. This evolution aims to fundamentally change the risk calculus for soldiers while opening new opportunities for dual-use applications in mining, agriculture and search and rescue.

Episode Chapters

  • 0:00 The History of Autonomy at DARPA: From the Grand Challenge to Today
  • 6:54 How RACER Differs from The Grand Challenge
  • 11:59 Operating Without Maps or GPS
  • 14:00 Managing Heat, Acoustic, and Visual Signatures in Autonomy
  • 19:43 Testing in the Mojave, Central California, and Texas
  • 25:11 Building the RACER Brain and Spawning New Companies (Overland AI, Field AI)
  • 27:12 The Rules of RACER: Speed Metrics and “No Maps” Constraints
  • 33:36 The Hardware: Modifying Polaris RZRs and Textron M5 Tanks
  • 37:37 Requirements vs. Possibilities
  • 40:01 Field Testing with the 11th Armored Cavalry Regiment at the National Training Center
  • 44:43 Deploying RACER in the Field
  • 46:12 The Legacy of RACER: Dual-Use Applications and Saving Lives

The future is bright. The future is autonomous. The future is The Road to Autonomy.

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