The demonstrations are not controllers.
Every motion control on this site changes a browser illustration. The robot demo has no motor driver, network connection to a machine, collision model, camera feed, force sensing, or physical feedback. The claw cabinet has no real machine or prize service. Displayed angles and capture regions are local drawing values.
The word “simulation” in the guides describes a testing approach. The included demonstrations are intentionally simpler: they illustrate state transitions and rendering. Their successful operation is not evidence that a physical task is feasible or safe.
A browser pause button is not an emergency stop.
Pause cancels remaining steps in the page’s animation sequence. Reset changes local state and cancels local callbacks. Closing the tab ends the browser session. None of these actions is connected to physical equipment or offers a safety-rated function.
Do not relabel a web control as a physical safeguarding mechanism without a separate, reviewed system design. The meaning of stopping, pausing, disconnecting, and cancelling must be established in the actual controller and operating context.
Physical integration is a separate engineering project.
A real application needs the manufacturer’s applicable documentation, verified controller behavior, correct configuration, and a risk assessment for the specific environment. Qualified people must evaluate the workspace, tools, payloads, possible access by people, and the protective measures appropriate to the task.
This website does not supply universal speed, force, distance, timeout, or clearance limits. A number copied from a demonstration cannot account for the geometry, dynamics, operating mode, and hazards of an actual installation. Any physical deployment needs its own validation rather than relying on these examples.
AI output is not execution authority.
An AI-generated task or plan is a proposal. It does not establish permission, scene accuracy, feasibility, or successful completion. Application boundaries should distinguish proposed actions, authorization, execution, and measured results. The agentic arm overview discusses that separation as an architectural pattern.
Human approval is also not a replacement for every other check. Review must be tied to the actual proposal and operating context. When assumptions change, a previously reviewed request may need to be reconsidered.
Virtual game boundaries.
The practice claw uses deterministic hit regions and labels a selected illustration. It offers no money, persistent inventory, real prizes, purchases, or randomized reward service. Extending a practice example into a commercial game introduces requirements this package does not implement.
Questions about scope.
Read the documentation for the library’s exact behavior. Report unclear labels or misleading explanations through Contact. Avoid sending confidential controller settings or sensitive operating information in an initial message.