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World-model planning in a timed control loop

Perception supplies current state. A planner queries a world model with candidate actions and uses predicted results. Selected commands pass a filter and timed controller before robot execution. New observations close the loop. The filter does not certify safety. Monitoring and measured outcome evaluation are independent requirements.

World-model planning in a timed control loopPerception supplies current state. A planner queries a world model with candidate actions and uses predicted results. Selected commands pass a filter and timed controller before robot execution. New observations close the loop. The filter does not certify safety. Monitoring and measured outcome evaluation are independent requirements. World model in the loop Perception Current state Planner Candidate actions Action filter Feasibility Uncertainty Controller Timed output World model Predicted results Monitor / eval Checks + logs Robot Actuation Actions Predicted future State New observations
In this planner example, a world model receives current state and candidate actions, and predicted results enter planning. Feasibility checks occur before timed controller execution. New observations supply feedback. Monitoring and measured evaluation are independent requirements. Author-created explanatory diagram. Playback time is illustrative and is not measured runtime. Open full-size SVG