OmindOS | A Robot Agent OS

Bring robot capabilities together to complete a task

OmindOS is OriginMind’s Robot Agent OS. It coordinates robot capabilities and uses execution feedback to manage task progress, helping manufacturers and integrators build complete workflows.

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01 / TASKS

One task, multiple capabilities

Warehouse inspection combines language understanding, navigation and obstacle avoidance. Complex sites such as underground metal mines may require more capabilities. A task-level OS organizes them into a complete workflow.

Organize the task

Turn the goal into execution steps and identify the capabilities each step needs.

Coordinate capabilities

Call capabilities through adapted interfaces and connect the inputs and outputs of each step.

Execution feedback

Collect execution status and results to support task progress and human confirmation.

02 / SYSTEM

Connect tasks with robot capabilities

Clear interfaces and status feedback connect each stage, from the task goal to robot execution.

Tasks and applications

Define goals, business workflows, site constraints and expected results.

OmindOS

Organize task steps, coordinate capability calls and collect execution status and results.

Robots and existing capabilities

Expose robot control, sensors, navigation, obstacle avoidance and other skills through interfaces.

Site and people

Confirm site conditions, human involvement and task results.

Two ways to work with one task-level OS

For robot hardware manufacturers

Integrate a task-level OS with your robot platform. Connect existing control systems and capability interfaces so hardware capabilities can work together on tasks.

Explore OS integration

For application integrators

Combine robot capabilities, application workflows and site systems around tasks in warehouses, mines and complex industrial environments. Develop and validate the solution together.

Explore application solutions

Platforms & interfaces: Robot model, control system, sensors and available interfaces.
Versions & status: Separate validated, in-progress and planned support.
Development & deployment: Confirm the runtime environment, interface documentation, installation method and site deployment conditions.
Validation & delivery: Agree on tasks, test conditions, issue records and the next stage.

Responsibilities, interfaces and feature support depend on the version, robot adaptation and validation results.

Frequently asked questions

Why does a robot need a task-level OS?

Navigation or obstacle avoidance can handle one part of a task. Real tasks require several capabilities to work through a sequence. A task-level OS organizes the steps, connects capability calls and follows the results.

How does it connect to existing robot systems?

First assess the robot, control system and capability interfaces, then adapt them around the target task. Robot control and individual skills participate through those interfaces.

How do we start?

Hardware manufacturers can share their robot platform and interfaces. Application integrators can share task workflows and site requirements. Together we define the capability combination, integration scope and validation goals.

Start with your robot platform and target task

Tell us about your robot platform or site requirements so we can define the integration and validation scope together.

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