ForwardOccupancyScenario
Robotics scenarios · Implementation: mlsysim/engine/scenario_definitions/robotics/grounding.py.
Construct this scenario with keyword inputs. The fields below show the types and defaults declared by this class.
A coworker’s forward occupancy set at cadence.site’s design approach speed, screened over the cadence scenario’s evidence windows and over a forecast horizon, against the aisle.
Notes
Equation: result evaluates the configured solver; its contract owns the governing equations.
Assumptions: A person can expand the forward occupancy set at the supplied approach speed.
Excludes: Human acceleration, directional intent probabilities, and a spatial motion planner.
References
Derivation: The scenario binds declared inputs to ForwardOccupancyModel. Those implementations document their derivations and sources.
Examples
Execute the registered worked inputs; this is a modeled calculation.
>>> from mlsysim import Scenarios
>>> case = Scenarios.AisleCoworkerForwardOccupancy
>>> value = case.result
>>> print(f"{value.growth_forecast:.3f~P}")
3.200 mAttributes
| Name | Description |
|---|---|
| cadence | |
| forecast | |
| result | Evaluate the configured inputs with mlsysim.solvers.ForwardOccupancyModel.solve. |
cadence
Type: IntentCadenceScenario.
Declared default: required.
forecast
Type: Quantity.
Declared default: required.
result
engine.scenario_types.ForwardOccupancyScenario.result
Evaluate the configured inputs with mlsysim.solvers.ForwardOccupancyModel.solve.
The returned typed result retains the solver’s documented units, assumptions, and feasibility semantics; this property adds no measurement or safety claim. Equation: result = ForwardOccupancyModel().solve(...) using the fields shown below.