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Lagann's red humanoid robot against a dark industrial wall

Meet Gurren

Move physical
AI beyond the
demo.

Gurren moves robot policies from simulation and training into real-world deployment. Use one modular dual-arm platform to teleoperate tasks, collect data, correct failures, and test performance on physical hardware.

Explore Gurren

From lab to deployment

Take robot policies from simulation to the real world.

Train policies in simulation, test them on Gurren, correct failures through teleoperation, and deploy them where they must work. Gurren builds on the OpenArm standard and is engineered for greater rigidity, stability, and mechanical reliability.

  1. 01 / Simulation

    Train and evaluate policies.

  2. 02 / Gurren

    Demonstrate. Collect. Correct.

  3. 03 / Real world

    Deploy tasks. Measure results. Improve.

Built for physical AI

One platform.
The full data loop.

Move from demonstration to autonomous execution: capture every signal, validate each policy on hardware, and turn human corrections into the next round of training data.

DemonstrateCaptureValidateCorrect

  1. 01

    Teleoperation

    Show it the task.

    Capture real-world demonstrations through intuitive bimanual teleoperation, with every movement recorded for training and evaluation.

  2. 02

    Data capture

    Record every signal in sync.

    Capture synchronized vision, joint state, actions, and sensor data to create clean, high-quality datasets for physical AI.

  3. 03

    Sim-to-real

    Train in simulation.
    Prove it in reality.

    Develop and test policies in simulation, then validate their performance on the same embodied platform in the real world.

    Isaac Sim workspace with a humanoid model and test objects
    Software workflow referenceIsaac Sim

  4. 04

    Intervention

    Correct failures live.

    Take control when a policy drifts, complete the task, and turn each intervention into new training data.

Platform enablers

Keep the workflow moving.

Integration, quick-change tooling, and serviceable hardware keep the loop moving across existing software stacks, changing tasks, and repeated real-world tests.

05 / Integration

Connect to the stack you already use.

TeleoperationIsaac SimGurren interfacesPolicyData

Connect Gurren to Isaac Sim and existing teleoperation, VLA, policy, and data pipelines through extensible software interfaces.

06 / Quick-change

Swap tools without rebuilding the arm.

Gurren is designed to use Lagann end effectors or a custom connector so teams can change tools without rebuilding the arm or platform.

07 / Deployment

Run. Service. Repeat.

System stateReady
Run recordSaved
ModulesServiceable

Gurren is designed with serviceable hardware so teams can keep experiments, data collection, and pilot deployments moving.

Platform comparison

Do more
on one robot.

Move from demonstration and training to real-world deployment without rebuilding the robot around each new workflow.

Integrated Often separate

01 / Tooling

Tool changes

Gurren

Swap tools automatically

Typical alternatives

Change tools manually

02 / Control

Human recovery

Gurren

Take over failed policies

Typical alternatives

Build recovery separately

03 / Tooling

Tool workflows

Gurren

Run multiple tool workflows

Typical alternatives

Stay locked to one tool

04 / Tooling

End effectors

Gurren

Build custom end effectors

Typical alternatives

Use vendor-specific tooling

05 / Data

Training data

Gurren

Record and replay training data

Typical alternatives

Build a separate data setup

06 / Validation

Sim-to-real

Gurren

Validate policies on the same robot

Typical alternatives

Integrate hardware separately

07 / Mobility

Base options

Gurren

Change mobility bases

Typical alternatives

Commit to a fixed base

08 / Service

Repairability

Gurren

Replace components in the field

Typical alternatives

Wait through longer repairs

Modular mobility

One robot.
Two ways to move.

Gurren is designed to mount the same upper body on wheels or legs while keeping the same arms, sensors, compute, tooling, and data workflows.

Architecture concept

One upper body · One base interface

Shared upper body
Development render of Gurren’s shared upper-body platform
Arms · Sensors · Compute · Tooling

Modular base interface

Change the base. Keep the robot.

Common connection
PowerControlDataMechanical

01 / Wheeled base

Efficiency first.

StableEfficientStructured spaces

02 / Legged base

Access first.

StairsUneven groundHuman spaces
Mobility architecture · Configuration diagram, not product photographyBase configurations in development

Wheels for efficiency.
Legs for access.

Wheels are designed to move efficiently across structured spaces. Legs extend the platform toward stairs, uneven ground, and environments designed around people.

The modular interface is designed to let teams change mobility without replacing the upper body or rebuilding the development workflow.

Move beyond the lab

Bring us the task that has to work.

Tell us what must work outside the lab. We’ll define the robot configuration, data workflow, and success criteria for a focused real-world pilot.

Request a pilot

Start with a real task.

Tell us what your team needs to deploy outside the lab. We’ll review the technical fit and follow up with practical next steps.

Gurren, Lagann’s red bimanual robotic platform