clarify-ambiguity

To resolve ambiguous goals in robot tasks, the system queries spatial memory and scene information to disambiguate objects, prompting the operator for input to confirm the correct target before execution.

Robotic AI fails when tasks are underspecified because it lacks explicit intent. Ambiguity resolution detects missing destinations or duplicate objects and asks the operator for clarification to avoid irreversible guessing.

Implement operator interaction by detecting underspecified goals, querying spatial memory for context, and requesting direct input from the operator to confirm the correct object or destination before task execution.

The best way to prevent irreversible guesses is to use ambiguity resolution to identify multiple matching objects or missing destinations, requiring operator confirmation before the robot executes the task.

Yes, you can use scene information and spatial memory to disambiguate robot task instructions. The system queries these sources to identify specific objects and only asks the operator if ambiguity remains.

You should not rely solely on automated ambiguity resolution when a task requires immediate execution without operator input availability, as the system pauses to query spatial memory and wait for operator confirmation.