AI app for it and development · no coding needed
Robot fleet task automation control portal
Reduce manual robot programming and supervision while keeping task plans, safety limits and approvals under the operator's control.
Made for: Operations and automation engineers running mixed robot fleets in warehouses, labs and production cells

What it does for you
The problem
Robot tasks are programmed per model, monitored in separate vendor tools and re-planned by hand when the environment or a grasp fails.
What it gives you
Operator-approved robot task plans linked to execution logs
What you give it
Robot modelsconfigurationssensor feedstask definitionssite constraints
Build your own version of Gemini Robotics, Gemini Robotics On-Device and more
One app with what these 3 AI tools do, yours to keep and change: Gemini Robotics, Gemini Robotics On-Device, Gemini Robotics 2.
Everything these tools do, in one app
- AI task automation Automates robotic tasks using AI that adapts to changing environments.Found in Gemini Robotics
- Visual workflow editor Provides a visual interface for designing and modifying robot processes.Found in Gemini Robotics
- Real-time performance analytics Monitors and analyzes robot performance in real time.Found in Gemini Robotics
- Hardware/software integration Integrates with popular industrial hardware and software systems.Found in Gemini Robotics
- Cloud deployment Enables cloud-based deployment for scalability and remote access.Found in Gemini Robotics
- On-premise deployment Supports on-premise deployment for local control.Found in Gemini Robotics
- Customer support Offers responsive customer support and thorough documentation.Found in Gemini Robotics
- On-device execution Runs AI models locally on robotic devices without cloud dependency.Found in Gemini Robotics On-Device
- Dexterous manipulation Performs physical tasks with high dexterity, handling varied objects.Found in Gemini Robotics On-Device, Gemini Robotics 2
- Few-shot adaptation Quickly adapts to new tasks using only 50-100 demonstrations.Found in Gemini Robotics On-Device
- Robot compatibility Works with various robot models and configurations.Found in Gemini Robotics On-Device, Gemini Robotics 2
- Low latency operation Operates with low latency for time-sensitive applications.Found in Gemini Robotics On-Device
- Developer SDK Provides an SDK for developers to evaluate, fine-tune, and integrate the model.Found in Gemini Robotics On-Device
- Whole-body control Coordinates multiple joints and sensors simultaneously for whole-body movements.Found in Gemini Robotics 2
- Adaptive reasoning Adjusts plans mid-task when the environment changes or a grasp fails.Found in Gemini Robotics 2
- Multi-robot collaboration Enables two or more robots to share a task and coordinate movements.Found in Gemini Robotics 2
How it works, step by step
- Register robot models, configurations and site constraints
- Automate robotic tasks with AI that adapts to changing environments
- Design and modify robot processes in a visual workflow editor
- Monitor and analyze robot performance in real time
- Integrate with industrial hardware and software systems
- Deploy in cloud or on-premise for local control
- Run AI models on-device without cloud dependency
- Perform dexterous manipulation of varied objects
- Adapt to new tasks from 50-100 demonstrations
- Support multiple robot models and configurations
- Operate with low latency for time-sensitive tasks
- Provide an SDK to evaluate, fine-tune and integrate models
- Coordinate multiple joints and sensors for whole-body movement
- Adjust plans mid-task when the environment changes or a grasp fails
- Share one task across two or more robots with coordinated movements
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned operator-approved robot task plan linked to execution logs with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Robot fleet task automation control portal with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Robot fleet task automation control portal with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare27 KB
- prompt-vps.mdThe same build on your own server (Docker)27 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria14 KB
- demo/index.htmlThe working demo on sample data197 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce manual robot programming and supervision while keeping task plans, safety limits and approvals under the operator's control. For operations and automation engineers running mixed robot fleets in warehouses, labs and production cells, convert robot models, sensor feeds, task definitions and site constraints into operator-approved robot task plans linked to execution logs. The benefit is a testable hypothesis, measured through completed tasks per operator hour and interventions per hundred task runs; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect robot models, sensor feeds, task definitions and site constraints, then follow this sequence: 1. Register robot models, configurations and site constraints. 2. Automate robotic tasks with AI that adapts to changing environments. 3. Design and modify robot processes in a visual workflow editor. 4. Monitor and analyze robot performance in real time. Resolve uncertain cases with qualified reviewers, approve operator-approved robot task plans linked to execution logs, and measure completed tasks per operator hour and interventions per hundred task runs against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured task plans and generate candidate robot actions for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints, safety limits and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed robot cell and approved task set; final safety validation and physical operation remain with qualified operators. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve operator authority, source attribution, safety limits and usage permissions. Qualified operators approve substantive task changes and physical operation scope. One fixed robot cell and approved task set; final safety validation and physical operation remain with qualified operators. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed robot cell and approved task set; final safety validation and physical operation remain with qualified operators. Implement one approved input format, a bounded representative case set and the first two task modules: register robot models, configurations and site constraints; automate robotic tasks with AI that adapts to changing environments. Support the remaining modules with operator review: design and modify robot processes in a visual workflow editor; monitor and analyze robot performance in real time. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Robot vendor APIs, PLC and industrial control systems, MES and WMS software, camera and sensor feeds, cloud or on-premise infrastructure. Start with file exchange and validate destination specifications before promising direct robot control. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Fleet and site setup, Visual task workflow editor, Live operations board, Execution log and review. Use a thumbnail gallery for sites and robot cells, a large central workflow canvas, and a right-hand panel for task steps, constraints and comments. Let users compare task plan versions side by side. Display draft, changes requested and approved states. Provide a supervisor view with alerts anchored to the relevant robot and task step. Make the task-specific outcome operator-approved robot task plans linked to execution logs visible beside its evidence, review state and value baseline.





