Build around your operating environment
Assemble aisles, equipment, and assets around the facility or robot task you need to investigate.
For robotics, simulation & industrial teams
Build repeatable environments for robot simulation.
Use Ziva’s in-editor AI agent to assemble environments, change scenario conditions, and develop repeatable setup workflows. Start with one robot task and a guided pilot around your simulation stack.
About this demo
The demo shows Ziva alongside a warehouse project in the Unreal editor, followed by a mobile picking mission. An orange robot arm on a wheeled base picks up a blue box, carries it across the warehouse, and places it at the packing station. On-screen labels identify the mission stages and confirm the delivery. This is a virtual workflow demonstration; robot control, sensors, and physical accuracy need separate engineering validation.
The experience
Pick up a box. Deliver it across the warehouse.
Watch a mobile robot arm run a pick-and-place mission in Unreal Engine. Follow the robot as it picks up a box, travels to the packing station, and completes the delivery. Use this virtual workflow as a starting point for your simulation pilot.
- Prepare the warehouse
- Pick up the box
- Travel to the packing station
- Complete the delivery
Why Ziva
An AI agent that works inside your engine.
Describe the change you want. Ziva works with the scene and code in your project, so your team can inspect the result and keep editing it.
Use the engine for the experience, Ziva for the development work, and your team’s expertise to decide what comes next.
- 01Describe the task
- 02Review the editable result
- 03Ask for the next revision
Example requests for your pilot
Start with a brief
“Build a warehouse scene for a mobile robot. Create a route between two stations, add an obstacle variation, and make it easy to reset the scene for another run.”
Then make a change
“Block the first aisle, keep the start and destination fixed, and add a reset so we can compare the next run.”
One project your team can keep developing.
Build around your engine
Engine support and delivery are scoped with your team.
Why build with Ziva
Change the scenario. Keep the experiment focused.
Every new layout or obstacle can mean another round of scene setup and scripting. Build a reusable environment so your team can focus on the question the experiment needs to answer.
Make the next variation easier to prepare
Ask Ziva to help change a route, obstacle, or layout while keeping the rest of the environment consistent.
Agree what each run should tell you
Define initialization, reset behavior, and the observations to compare. Your simulation engineers review physics, control behavior, and the assumptions behind the result.
Where you could start
Mobile robot environments
Warehouse navigation, pickup areas, aisle constraints, and changing obstacles.
Facility & digital twin prototyping
Explore virtual layouts and define the operational data a connected twin would need.
Simulation pipeline development
Scope robot models, sensor setups, and experiment tooling around your simulation stack.
Your first enterprise pilot
A clear first project. A useful result.
Start with Ziva’s AI agent and guidance from our team. Agree the scope, build a first version, and decide what a wider rollout needs.
- 01
Review your starting point
Choose the robot task, environment, simulator, and observations that would make a pilot useful.
- 02
Build the first pilot with Ziva
Assemble the scene and the variations, with a repeatable way to initialize and run it.
- 03
Review the result and plan the rollout
Review geometry, physics, control behavior, and measurements with your simulation team before expanding the workflow.
Your pilot could deliver
One resettable simulation environment with agreed scenario variations and a plan for checking its assumptions.
A few useful answers
Before we build.
What does an enterprise pilot include?
The starting point is Ziva’s AI agent plus a guided pilot for your team. We’ll review one workflow, define a useful first result, and agree the setup, hands-on engineering support, and delivery scope before work starts.
Is the warehouse example a validated robotics simulation?
A robot moving through a warehouse illustrates a virtual environment and a route. Physics fidelity, robot control, sensors, and measured outcomes need a separate evaluation for your engineering use case.
Can we use Isaac Sim, ROS 2, or our robot models?
Bring your simulator versions, robot models, middleware, and current test setup. The first review identifies the tools the agent will need and the integrations required for the pilot. Explore Ziva for Isaac Sim.
What makes an environment a digital twin?
A connected digital twin needs a defined physical counterpart, operational data, and an update process. A virtual warehouse is a starting environment. If you need a connected twin, include those data sources and update requirements in your project review.
Can simulation results predict real-world performance?
That depends on model fidelity and validation against the real system. A useful engagement starts by agreeing what the simulation can measure and how your team will check those results against hardware or operational evidence.
Ziva for enterprise
Start with one simulation question.
Bring a robot task or scene-building bottleneck. We’ll review your stack and outline a pilot using Ziva’s AI agent, with a representative environment and clear validation criteria.
What we’ll cover
- Define the robot task and simulator
- Choose the environment and scenario variations
- Agree fidelity requirements and validation criteria
Your use case is already selected. Tell us a little about your team, then add any details you want us to review.
Explore enterprise optionsYour project review
Robotics & digital twins
You & your team
Tell us a little about you and your team.