


Physics-grounded 3D assets and environments for simulation.
Cloud simulation platform running parallel digital twins of robot hardware and sensors for testing and training.
RL environments and simulation for training and post-training robot policies.
Bifrost Manifold platform generating synthetic 3D sensor data and simulation for robotics research.



General-purpose robot simulator with integrated scripting and multiple physics engines from Coppelia Robotics.



Falcon digital-twin simulation platform for generating synthetic data and testing robots and autonomous systems.



Robot simulation and 3D generation services; leads the open-source ManiSkill simulator built on SAPIEN.



Real-to-sim industrial digital twins from CAD and sensor data.
Frontier AI lab building world models and simulation infrastructure to accelerate robot deployment.



Open-source physics engine for robotics and biomechanics research, maintained by Google DeepMind.



Jetson Thor robot compute, Isaac Sim/Lab, GR00T models and Isaac ROS.



Automated real-to-sim world building: asset and scene generation and sim-to-real variants.



Synthetic sensor data and simulation for autonomous vehicle and robotics perception.



Simulated worlds and objects that behave like reality.
Next-gen physics simulation platform for robotics training, founded by NVIDIA simulation alums.



Open-source robot simulator developed by Cyberbotics.
Simulation, validation and vehicle software tooling for autonomous vehicles and other physical-AI machines.



Open-source robot simulator maintained by Open Robotics, the group behind ROS.



Formerly Scaled Foundations; GRID platform couples robot simulation with foundation models for development and deployment.



Scenario-based verification and validation toolchain for autonomous systems.



SimReady asset library, EgoSuite egocentric data and RoboFinals simulation-based evaluation of VLA models.



Closed egocentric video dataset plus Matrix, a cloud simulation platform; emerged from stealth September 2026.



Builds robotics foundation models trained with physics simulation, maintains the open-source Genesis physics engine, and makes a sensor glove for capturing human demonstrations.
The Robotics Map
A map of the robotics industry, from data and simulation to models, robots and deployments.
Filter Simulation
How to read this map ⌄
- Each station is one layer of the robotics stack, and its number counts the companies in it. The tiers read bottom-up, from data sources to what runs in the field.
- A line joins two layers that share companies, ones selling a real product in both. Its number says how many, and thicker lines mean more. Hover a line to see who; click it to keep the list open.
- +Zoom into a station, or click it, to open it. Companies only in that layer ring the station; companies that also work elsewhere sit on the line to that other layer.
- A company in four or more layers (today only NVIDIA) draws no lines. It sits inside every layer it works in instead.
Layers⌄
Busiest connections⌄
238 companies · 45 span more than one layer. Updated October 2026.
Maintained by Sam Padilla and Varun Nair