Humanoid Robotics Deployment
We don’t sell humanoid robots.
We deploy the system your factory floor runs on.
AIdeology partners with industrial teams to bring humanoid robotics into real production cells — designed and trained inside NVIDIA Omniverse, deployed and operated on NVIDIA AI Enterprise.
The result is not a tradeshow demo, but a production humanoid skill running inside your line — safe, observable, and built to grow into a global fleet.
We start on the floor — understanding the physical operation, not the robot
Before talking about humanoids, NVIDIA stacks, or simulators, we walk the line, time the cycle, study the safety perimeter, and map the real physical workflow that humans run today.
Then we test feasibility inside Omniverse before touching real hardware
Each candidate task is rebuilt as an Omniverse digital twin and stress-tested in Isaac Sim. We compare physics, sensing, manipulation, and integration risk so we only build what is realistic to deploy.
/World/Robots/Humanoid_01
Clean cell geometry, well-defined parts — ready to train in Isaac Lab.
Step 03
We train one humanoid policy end-to-end inside the digital twin
The first build is not a flashy demo. It is a single, well-scoped humanoid skill — trained at scale in Isaac Lab on synthetic data, evaluated against safety and quality KPIs, and ready to leave the simulator.
Foundation policy
GR00T as the brainA humanoid foundation model (NVIDIA GR00T family) provides general manipulation and locomotion priors. We fine-tune it on the customer's cell so the robot starts with a strong baseline rather than learning from scratch.
Click any capability to explore
We move sim-to-real and integrate the humanoid into the enterprise stack
Once the policy is solid in simulation, we deploy it onto real humanoid hardware running on Jetson Thor and Isaac ROS, and wire the robot into MES, ERP, and WMS through NIM microservices on NVIDIA AI Enterprise.
We design the experience for operators, supervisors, and safety officers
A humanoid only creates value when the people around it trust it. We shape the operator and supervisor interfaces — teleop, exception handling, dashboards, audit — so the floor can run the robots, not the other way around.
Approve non-standard grasp on part 7821-B
Confidence 71% on a deformed tote item. Approve attempt or fall back to operator?
Authorise route through walkway 3B
Crowd density at safe limit. Switch to alternate path adds 28s to cycle.
QC report ready · batch #884
172 of 180 parts passed. 8 flagged for rework with annotated images and reason codes for line lead review…
Skill update v0.34 ready to promote
New kitting policy improved success rate from 94.1% to 96.8% across 5,400 sim runs. Promote to Cell A2?
Finally, we scale across cells, sites, and the full humanoid fleet
Once one cell is in production, we replicate the deployment across lines and plants, manage the fleet centrally on NVIDIA AI Enterprise, and run continuous learning loops so every robot improves the next one.
End Result
Not another tradeshow demo.
A humanoid working inside your line.
From the floor walk to a global humanoid fleet — robots that earn their cycle inside your production, not videos that stay on a stage.
Production, not prototypes
Humanoid skills deployed into real cells with real operators — measurable on cycle time, success rate, and safety from day one.
Built to scale on NVIDIA AI Enterprise
From one cell to a global humanoid fleet — managed centrally, with OTA policy updates and continuous learning across sites.
Safe, controllable, auditable
Safety interlocks, force and speed limits, supervisor approvals, and full sensor replay — designed in from the first sim run.
Ready to bring humanoids into your first cell?
We start with a deployment session, walk one cell on-site, and quickly move it into Omniverse — with a production humanoid skill as the goal, not a tradeshow demo.