Install GRID
One command to the whole platform — from zero to a running session in ten
minutes.
Build your first skill
Write a program against your live robot in a generated notebook, then
deploy it from the shell.
What GRID gives your robots
Connect
Onboard robots to your organization’s cluster with
robot add — once
connected, every teammate can open a session against them.Build
Develop in a VS Code workspace wired to the live robot: state, motion,
cameras, and cloud AI calls from a notebook, no environment setup.
Simulate
Start cloud simulator sessions on NVIDIA Isaac Sim from the CLI — a
GPU-backed 3D scene with your robot, open in the browser in minutes.
Deploy
Ship the skill to the physical robot from the same shell — the CLI
provisions the environment, prompts for arguments, and streams logs live.
Call AI models on your robot’s data
GRID Cortex hosts detection, depth, segmentation, grasping, VLMs, and VLA policies behind one Python call — no GPUs to manage:Stay in the loop
Community
Questions, bugs, or robots doing something great? Join the Discord.
Blog
Research and product updates from General Robotics.