Polymath makes it effortless to add autonomous navigation to any industrial vehicle

The team at Polymath are experienced roboticists on a machine to simplify and speed up the process of deploying working robots, by providing safety-critical navigation for industrial vehicles. In their own words, taking robotics off “hard mode”. You can try Polymath in sim, and automate a use case in less than 40 minutes. It’s also totally free to build in sim.

You can start building behaviors in a simulated test environment, then add your vehicle specifications, and finally deploy what you’ve built in sim to a physical vehicle. Polymath is working on vehicles ranging from tractors, forestry and agricultural machinery, to trucks and heavy mining or construction equipment, to airport ground support, warehouse and logistics vehicles.

The Polymath autonomy engine provides foundational autonomy, built by a team of experienced roboticists, software engineers and machine learning specialists, providing:

  • Path planning & navigation
  • Obstacle detection & avoidance
  • Safety layer
  • Performance metrics

It’s vehicle agnostic, compute agnostic, compatible with most sensors and integrates with software via API.

Polymath’s co-founders are; Stefan Seltz-Axmacher, former co-founder of Starsky Robotics, the first company to drive an unmanned truck on a public highway; and Ilia Baranov, a UWaterloo trained roboticist & engineer who’s led teams at Amazon Lab 126 and Clearpath Robotics, and also owned the PR2 ROS repo after Willow Garage shut down.  The rest of the team have equally stellar backgrounds, with experience at companies like Clearpath, NASA, GoogleX, Hyperloop and Amazon.