Use case / Physical AI

Human–robot collaboration

Scope embodied evaluations around human interaction: yielding, receiving corrections, handing over objects, and recovering when the shared workspace changes.

Physical AI teamsScope this use case

An illustrative scenario

What should the robot do when a person changes the task?

A robot is moving a tote through a shared workspace when a person steps into the route and redirects it to another station. The task now requires fresh observations, a clear handoff of intent, and a permitted choice to wait, ask, or change the plan.

Human intentAgent decisionTask outcome

What to vary

Keep the comparison focused. Change the conditions that can alter the right next action.

Human activity
Crossing paths, interrupted handovers, late instructions, and ambiguous intent.
Environment state
Moved objects, unavailable stations, reduced clearance, and outdated observations.
Task execution
Failed grasps, uncertain object state, delayed tools, and recovery constraints.

What to measure

Agree the checks before the evaluation. Inspect outcomes and failures alongside the summary.

Task completion
Check the requested object, destination, and final state after interruptions.
Interaction response
Compare whether the system recognized the change, yielded, or requested clarification appropriately.
Recovery evidence
Record observation age, chosen skill, fallback behavior, and which scenarios require hardware validation.

Define your engagement

Start with a decision you can evaluate.

You bring
One site or task environment, an embodiment, observation/action interfaces, and the operating constraints defined by the robotics team.
We scope
A scenario suite for shared-space interaction, policy comparisons, failure traces, and a prioritized hardware validation plan.

Simulation does not establish safe physical deployment. Controller behavior, sensing limits, contact dynamics, and task-specific safety requirements need engineering review and evidence from the actual system.

Plan a scoped pilot

Questions about this use case

Is Helm the robot controller?

This scope concerns task environments, high-level decisions, and evaluation. Real-time control, stopping behavior, and hardware fallback remain separate engineering responsibilities unless explicitly included in an engagement.

What should a robotics team scope first?

Choose one embodiment, one environment, and one interaction family. Define what can be observed and checked before expanding to broader tasks or sites.

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