Live · The Road to Autonomy Indices
.RCI · Robotaxi Confidence Index 51.1 – 0.0 .ADLCI · Autonomous Driving Licensing Confidence Index 36.8 ▼ +0.3 .ATCI · Autonomous Trucks Confidence Index 42.2 ▲ +0.8 .DCI · Delivery Bots Confidence Index 53.3 ▲ +0.3 Baidu Apollo GoCN 80.8 ▲ +0.3 WaymoUS 78.0 ▲ +0.9 Starship TechnologiesEE 70.7 ▲ +0.5 Pony.aiCN 65.1 ▲ +5.6 Serve RoboticsUS 62.3 ▲ +2.3 WeRideCN 60.5 ▲ +1.7 NeolixCN 60.5 ▼ -4.1 AuroraUS 56.4 ▼ -0.6 KodiakUS 56.4 ▲ +1.5 CocoUS 51.9 ▼ -0.5 Applied IntuitionUS 49.4 ▼ -0.3 TeslaUS 44.9 ▲ +1.9 MomentaCN 43.5 ▲ +9.6 Didi Autonomous DrivingCN 41.9 ▼ -2.1 Volvo Autonomous SolutionsSE 40.9 ▼ -2.6 Bot AutoUS 40.7 ▲ +2.2 XPengCN 39.7 ▼ -3.6 ZooxUS 36.7 ▲ +0.2 Cao Cao MobilityCN 35.9 ▼ -5.8 MobileyeIL 35.4 ▼ -4.1 May MobilityUS 33.0 ▼ -0.2 MotionalUS 33.0 ▲ +1.1 WaabiCA 33.0 ▼ -1.5 DeepRoute.aiCN 32.3 ▼ -7.2 Avride PodUS 31.1 ▲ +2.6 AvrideUS 31.0 ▲ +0.9 MeituanCN 30.5 ▼ -9.4 DoorDash DotUS 27.3 ▼ -4.3 WayveGB 27.1 ▼ -2.6 MOIA AmericaDE 25.7 ▼ -1.2 TorcUS 25.7 ▼ -5.4 AutobrainsIL 21.9 ▼ -0.1 Stack AVUS 21.4 ▼ -0.8 VerneHR 20.1 ▼ -3.2 NuroUS 19.0 ▲ +0.1 Helm.aiUS 17.5 ▼ -0.1 PlusAIUS 17.0 ▼ -1.8 Tensor AutoUS 15.5 ▼ -2.3 HUMAINSA 2.1 – 0.0 .RCI · Robotaxi Confidence Index 51.1 – 0.0 .ADLCI · Autonomous Driving Licensing Confidence Index 36.8 ▼ +0.3 .ATCI · Autonomous Trucks Confidence Index 42.2 ▲ +0.8 .DCI · Delivery Bots Confidence Index 53.3 ▲ +0.3 Baidu Apollo GoCN 80.8 ▲ +0.3 WaymoUS 78.0 ▲ +0.9 Starship TechnologiesEE 70.7 ▲ +0.5 Pony.aiCN 65.1 ▲ +5.6 Serve RoboticsUS 62.3 ▲ +2.3 WeRideCN 60.5 ▲ +1.7 NeolixCN 60.5 ▼ -4.1 AuroraUS 56.4 ▼ -0.6 KodiakUS 56.4 ▲ +1.5 CocoUS 51.9 ▼ -0.5 Applied IntuitionUS 49.4 ▼ -0.3 TeslaUS 44.9 ▲ +1.9 MomentaCN 43.5 ▲ +9.6 Didi Autonomous DrivingCN 41.9 ▼ -2.1 Volvo Autonomous SolutionsSE 40.9 ▼ -2.6 Bot AutoUS 40.7 ▲ +2.2 XPengCN 39.7 ▼ -3.6 ZooxUS 36.7 ▲ +0.2 Cao Cao MobilityCN 35.9 ▼ -5.8 MobileyeIL 35.4 ▼ -4.1 May MobilityUS 33.0 ▼ -0.2 MotionalUS 33.0 ▲ +1.1 WaabiCA 33.0 ▼ -1.5 DeepRoute.aiCN 32.3 ▼ -7.2 Avride PodUS 31.1 ▲ +2.6 AvrideUS 31.0 ▲ +0.9 MeituanCN 30.5 ▼ -9.4 DoorDash DotUS 27.3 ▼ -4.3 WayveGB 27.1 ▼ -2.6 MOIA AmericaDE 25.7 ▼ -1.2 TorcUS 25.7 ▼ -5.4 AutobrainsIL 21.9 ▼ -0.1 Stack AVUS 21.4 ▼ -0.8 VerneHR 20.1 ▼ -3.2 NuroUS 19.0 ▲ +0.1 Helm.aiUS 17.5 ▼ -0.1 PlusAIUS 17.0 ▼ -1.8 Tensor AutoUS 15.5 ▼ -2.3 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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