Interruption is part of intelligent collaboration.
Human-aware task evidence that connects collaborative-arm performance with overrides, safe stops and recovery.
Discuss a similar programmeCollaborative workcells where human proximity changes the task state.
The operating challenge
A collaborative arm works in a changing human environment. Interruption, operator correction and recovery can matter as much as reaching the task’s original goal.
Our contribution
Our programmes capture interaction states, overrides and safe-stop behaviour alongside task evidence. Operator acceptance remains connected to the quality decision, giving robot-learning teams a human-aware view of useful performance.
Programme value
The output includes interaction scenarios, safety-event labels, override traces and operating-envelope reports. The advantage is a richer task contribution for collaborative workcells, with the human context preserved rather than treated as noise around the robot.
Platform context.
Bring the next
requirement.