Automated synthetic data for your autonomous systems

We generate high quality sim ready environments and scenarios to bridge the sim2real gap in your autonomous systems.

RedTeam Robotics - Black Box Perception Testing Demo

What gets your robot drunk?

How It Works

Step 1: Environment

Give a text or image prompt of an environment you want. Example, "An home layout with a space with a table and some chairs and common things found in a cabin."

Step 2: Robot

Import your robot URDF and code. We are built over Isaac Sim and support various sensors.

Robot Import - MJCF file configuration

Step 3: Scenario

Specify a scenario or let our agent automatically generate one considering the environment and your robot :)

Scenario Setup - Task and obstacle configuration

Step 4: Run

Let the simulation run in our cloud (or your machine) and see the results.

Task Performance

Manipulation42%
Locomotion62%
Navigation Coverage94%

FAQ

Still have questions? We're here to help.

Our Team

Vaibhav Garg

Vaibhav Garg

IIT Bombay

Amish Mittal

Amish Mittal

Ex-Microsoft Research