HandoffExposureScenario
Robotics scenarios · Implementation: mlsysim/engine/scenario_definitions/robotics/planning.py.
Construct this scenario with keyword inputs. The fields below show the types and defaults declared by this class.
A replanner at replan_rate over mission_time whose handoffs are each late with late_probability, held to mission_budget for the whole mission.
Notes
Equation: Composition of mlsysim.solvers.HandoffExposureModel.solve.
Assumptions: Inputs are routed to HandoffExposureModel.solve; their documented regimes and units apply to this configuration.
Excludes: Additional mechanisms beyond the linked solver contracts; the scenario does not collect measurements.
References
Derivation: This scenario binds named inputs to HandoffExposureModel. The linked solver contracts own equations, sources, and result-unit definitions.
Examples
Evaluate the named configuration and display a modeled result.
>>> from mlsysim import Scenarios
>>> case = Scenarios.GenericReplannerMissionExposure
>>> value = case.result.all_on_time
>>> print(f"{value:.3g}")
8.05e-14Attributes
| Name | Description |
|---|---|
| late_probability | |
| mission_budget | |
| mission_time | |
| replan_rate | |
| result | Evaluate the stated handoff exposure case through HandoffExposureModel.solve; returns its typed result and quantity units. |
mission_time
Type: Quantity.
Declared default: required.
replan_rate
Type: Quantity.
Declared default: required.
late_probability
Type: float.
Declared default: required.
mission_budget
Type: float.
Declared default: required.
result
engine.scenario_types.HandoffExposureScenario.result
Evaluate the stated handoff exposure case through HandoffExposureModel.solve; returns its typed result and quantity units.
Calculation: mlsysim.solvers.HandoffExposureModel.solve.