TECHNOLOGY / CONNECTED SYSTEMS
A robotics workflow brings perception, reasoning, and action into a continuous loop. Explore how the layers connect—and where human oversight fits.
01 / EXPLORE THE STACK
Select a layer to explore the flow from sensor input to controlled response. This conceptual diagram explains the architecture; implementation depends on the task and hardware.
The connections matter as much as the individual models. Feedback from the environment should update the plan, while exceptions remain visible to the operator.
02 / UNDER THE SURFACE
01 / PERCEPTION
Collect useful signals, identify relevant objects and free space, and preserve uncertainty. The output is a structured observation—not a claim that the environment is perfectly understood.
02 / REASONING
Translate a request into an explicit goal. Consider operating limits, unavailable information, and the conditions that require human review before proposing an action.
03 / CONTROL
Execute through a control layer, monitor changes, and compare expected behavior with observed behavior. A plan must adapt when the environment no longer matches its assumptions.
03 / PEOPLE IN THE LOOP
Operators should know which tasks the system supports, what it is currently doing, and how to pause or stop it. The interface should make uncertainty and exceptions easy to recognize.
A project definition should document the operating environment, review rules, recovery paths, and validation criteria. These details are part of the design, not an afterthought.
04 / INTEGRATION QUESTIONS
That depends on the task. Cameras, range sensors, position feedback, and operational data may all contribute. Useful inputs must be available, relevant, and evaluated in the intended environment.
A task interface can interpret a request, but physical execution needs constrained planning, a control layer, validation, and appropriate oversight. A generated response alone is not a deployment-ready control system.
Define a narrow workflow and compare it with an agreed baseline. Review completion, exceptions, operator effort, and recovery behavior. The measures and thresholds should fit the actual environment.
The Mission Console is a scripted visualization of the workflow. The optional local AI generates text proposals. Connecting AI output to hardware requires additional integration and validation.