FreshnessProfileScenario
Robotics scenarios · Implementation: mlsysim/engine/scenario_definitions/robotics/plant.py.
Construct this scenario with keyword inputs. The fields below show the types and defaults declared by this class.
A target moving at site’s conveyor speed, grasped through a staged capture-to-onset pipeline.
Notes
Equation: Compose mlsysim.solvers.FreshnessProfileModel.
Assumptions: The stated fields are inputs to mlsysim.solvers.FreshnessProfileModel; its documented validity regime, units, and modeling choices apply unchanged.
Excludes: This scenario adds no measurement, empirical calibration, or mechanisms beyond mlsysim.solvers.FreshnessProfileModel.
References
Derivation: this scenario binds its input fields to the referenced implementation contracts: mlsysim.solvers.FreshnessProfileModel. The methods below identify any additional arithmetic.
Examples
>>> from mlsysim import Scenarios
>>> case = Scenarios.WristCameraGraspAgeProfile
>>> type(case.result).__name__
'FreshnessProfileResult'Attributes
| Name | Description |
|---|---|
| focus_stage | |
| result | Evaluate this scenario through mlsysim.solvers.FreshnessProfileModel.solve. |
| site | |
| stages | |
| system_p99 | |
| system_p999 |
site
Type: Any.
Declared default: required.
stages
Type: List[Tuple[str, Quantity, Quantity, Quantity]].
Declared default: required.
focus_stage
Type: str.
Declared default: required.
system_p99
Type: Quantity.
Declared default: required.
system_p999
Type: Quantity.
Declared default: required.
result
engine.scenario_types.FreshnessProfileScenario.result
Evaluate this scenario through mlsysim.solvers.FreshnessProfileModel.solve. Equation: pass the stated fields to that implementation; its contract defines the calculation and feasibility tests. Units: each returned field follows the referenced result schema; no independent equation is evaluated by this wrapper.