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One Robot

World models for robots — realistic simulation for faster robot training

Hardware & IoTroboticssimulationworld-modelssynthetic-datamanipulationreinforcement-learningrobot-training
One Robot screenshot

About

One Robot builds simulation environments (world models) that are physically and visually realistic, trained on a robot team's own data. The platform lets robotics teams discover policy failures in simulation, generate targeted synthetic training data, and ship more reliable manipulation policies without being bottlenecked by physical robot availability. It is focused on contact-rich manipulation, deformable objects, and precise assembly tasks.

Problem

Physical robot availability limits how fast teams can iterate on training and surface edge cases before deployment.

For

Robotics teams building action models for manipulators

How it works

A world model is trained on the team's robot data to learn physics and visuals, then used to roll out policies in simulation, discover failures, and generate synthetic trajectories to fix them.

Business model

unknown

Status

launched

Company

One Robot

Founders

  • Hemanth Sarabu
  • Elton Shon

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