Live · The Road to Autonomy Indices
.RCI · Robotaxi Confidence Index 58.1 ▲ +0.1 .ADLCI · Autonomous Driving Licensing Confidence Index 43.2 – 0.0 .ATCI · Autonomous Trucks Confidence Index 41.4 – 0.0 .DCI · Delivery Bots Confidence Index 55.8 – 0.0 WaymoUS 86.0 ▲ +0.8 Baidu Apollo GoCN 81.8 – 0.0 WeRideCN 77.1 – 0.0 Pony.aiCN 70.0 ▲ +4.5 Starship TechnologiesEE 67.0 – 0.0 NeolixCN 66.4 – 0.0 Serve RoboticsUS 64.1 ▼ -1.0 XPengCN 62.8 ▲ +3.6 KodiakUS 59.0 ▼ -1.5 TeslaUS 56.9 ▲ +4.2 Applied IntuitionUS 55.4 – 0.0 MomentaCN 54.6 ▲ +0.6 CocoUS 52.3 ▲ +5.5 Didi Autonomous DrivingCN 50.7 ▼ -0.5 AuroraUS 49.4 ▼ -3.5 Cao Cao MobilityCN 48.9 – 0.0 DeepRoute.aiCN 48.8 ▲ +1.3 MobileyeIL 45.8 ▼ -10.9 Bot AutoUS 43.3 ▼ -2.8 MeituanCN 42.9 – 0.0 ZooxUS 42.3 ▲ +1.0 DoorDash DotUS 42.1 ▼ -1.8 May MobilityUS 40.6 ▲ +1.1 Volvo Autonomous SolutionsSE 38.4 – 0.0 Avride PodUS 37.9 ▲ +0.9 AvrideUS 34.5 ▼ -0.9 WaabiCA 34.3 ▲ +0.6 MotionalUS 34.0 ▼ -1.6 MOIA AmericaDE 34.0 – 0.0 TorcUS 32.7 – 0.0 WayveGB 31.0 ▼ -0.8 Tensor AutoUS 27.3 ▼ -0.5 VerneHR 25.0 ▼ -3.8 NuroUS 23.1 ▲ +2.9 AutobrainsIL 22.6 ▼ -0.1 Stack AVUS 21.7 – 0.0 Helm.aiUS 19.3 – 0.0 PlusAIUS 17.1 – 0.0 HUMAINSA 5.1 ▲ +2.2 .RCI · Robotaxi Confidence Index 58.1 ▲ +0.1 .ADLCI · Autonomous Driving Licensing Confidence Index 43.2 – 0.0 .ATCI · Autonomous Trucks Confidence Index 41.4 – 0.0 .DCI · Delivery Bots Confidence Index 55.8 – 0.0 WaymoUS 86.0 ▲ +0.8 Baidu Apollo GoCN 81.8 – 0.0 WeRideCN 77.1 – 0.0 Pony.aiCN 70.0 ▲ +4.5 Starship TechnologiesEE 67.0 – 0.0 NeolixCN 66.4 – 0.0 Serve RoboticsUS 64.1 ▼ -1.0 XPengCN 62.8 ▲ +3.6 KodiakUS 59.0 ▼ -1.5 TeslaUS 56.9 ▲ +4.2 Applied IntuitionUS 55.4 – 0.0 MomentaCN 54.6 ▲ +0.6 CocoUS 52.3 ▲ +5.5 Didi Autonomous DrivingCN 50.7 ▼ -0.5 AuroraUS 49.4 ▼ -3.5 Cao Cao MobilityCN 48.9 – 0.0 DeepRoute.aiCN 48.8 ▲ +1.3 MobileyeIL 45.8 ▼ -10.9 Bot AutoUS 43.3 ▼ -2.8 MeituanCN 42.9 – 0.0 ZooxUS 42.3 ▲ +1.0 DoorDash DotUS 42.1 ▼ -1.8 May MobilityUS 40.6 ▲ +1.1 Volvo Autonomous SolutionsSE 38.4 – 0.0 Avride PodUS 37.9 ▲ +0.9 AvrideUS 34.5 ▼ -0.9 WaabiCA 34.3 ▲ +0.6 MotionalUS 34.0 ▼ -1.6 MOIA AmericaDE 34.0 – 0.0 TorcUS 32.7 – 0.0 WayveGB 31.0 ▼ -0.8 Tensor AutoUS 27.3 ▼ -0.5 VerneHR 25.0 ▼ -3.8 NuroUS 23.1 ▲ +2.9 AutobrainsIL 22.6 ▼ -0.1 Stack AVUS 21.7 – 0.0 Helm.aiUS 19.3 – 0.0 PlusAIUS 17.1 – 0.0 HUMAINSA 5.1 ▲ +2.2
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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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