roadrunner-scenario-simulating
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git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit /tmp/roadrunner-scenario-simulating && cp -r /tmp/roadrunner-scenario-simulating/skills-catalog/automotive/roadrunner-scenario-simulating ~/.claude/skills/roadrunner-scenario-simulatingSKILL.md
# RoadRunner Scenario Simulation
Simulate RoadRunner scenarios, step through simulations, control actors in co-simulation, add observers, attach sensors, and retrieve results — from MATLAB and Simulink.
## When to Use
- User wants to run a RoadRunner scenario simulation
- User wants to step through a simulation frame-by-frame
- User wants to control an actor externally (co-simulation)
- User wants to observe simulation state (read-only monitoring)
- User wants to add sensors and read target poses or lane boundaries
- User wants to retrieve simulation logs programmatically
- User wants to read or write scenario variables
- User asks about co-simulation with Simulink
- User asks about publishing actor behaviors
## When NOT to Use
- Launching or connecting to RoadRunner
- Authoring scenarios (adding actors, paths, behaviors in the editor)
- Building or editing scenes (roads, terrain, assets)
- Exporting actor trajectories to CSV — use `exportActorTrajectoryToCSV` directly
- Working with `drivingScenario` (that is a DIFFERENT toolbox — Automated Driving Toolbox)
## Critical: Do NOT Confuse With drivingScenario
`drivingScenario` (from Automated Driving Toolbox) is a MATLAB-native scenario tool.
RoadRunner Scenario simulation uses completely different APIs on the `roadrunner` object.
**Never mix these two — they are unrelated.**
---
## Decision Tree
```
User wants to simulate →
├── Just run to completion? → Workflow A (simulateScenario)
├── Need step control OR programmatic log? → Workflow B (createSimulation)
├── Need to read actor state during sim? → Workflow C (getAttribute)
├── Need external actor control? →
│ ├── From MATLAB? → Workflow D (System object co-sim)
│ └── From Simulink? → Workflow E (Simulink blocks)
├── Need read-only monitoring? → Workflow F (Observers)
└── Need sensor data during sim? → Workflow G (SensorSimulation)
```
---
## Workflow A: Simple Simulation (run to completion)
Use when the user just wants to simulate an already-open scenario:
```matlab
openScenario(rrApp, "MyScenario");
simulateScenario(rrApp, EnableLogging=true);
```
Options: `Pacing`, `IsBlocking`, `IsSteppingStart`, `EnableLogging`.
**Important:** `simulateScenario` does NOT return a log object. Use it when you only need to run to completion. If you need **programmatic access** to the simulation log in MATLAB, use `createSimulation` (Workflow B) instead.
---
## Workflow B: Step-by-Step Simulation
Use when the user needs frame-by-frame control or programmatic log access.
**CRITICAL call order:** `createSimulation` must be called BEFORE `simulateScenario`. The Scenario Server rejects new connections while a simulation is running or paused. Also, do NOT use `set(rrSim, SimulationCommand="Start")` then `"Step"` — `"Start"` runs the sim freely to completion.
```matlab
% 1. Get the simulation handle FIRST (before anything is running)
rrSim = createSimulation(rrApp);
stepSize = 0.01;
set(rrSim, StepSize=stepSize);
set(rrSim, MaxSimulationTime=30);
% 2. THEN start simulation in stepping mode
simulateScenario(rrApp, IsSteppingStart=true, IsBlocking=false, EnableLogging=true);
pause(0.5); % Allow sim to initialize before stepping
% 3. Step through the simulation
for i = 1:numSteps
set(rrSim, SimulationCommand="Step");
pause(stepSize); % REQUIRED — Step is async, must wait for frame to complete
end
set(rrSim, SimulationCommand="Stop");
simLog = get(rrSim, "SimulationLog");
```
**CRITICAL:** `"Step"` is **asynchronous** — you MUST add `pause(stepSize)` after each Step. Without it, commands pile up and are silently dropped. Do NOT use dot-method syntax (`rrSim.step()`) — always use `set(rrSim, SimulationCommand=...)`. Do NOT set `Logging="On"` during stepping — use `EnableLogging=true` in the `simulateScenario` call.
### SimulationCommand values
`"Start"`, `"Step"`, `"Pause"`, `"Continue"`, `"Stop"`, `"Replay"`
Replay uses positional syntax: `set(rrSim, "SimulationCommand", "Replay", fileName)`
### Polling SimulationStatus
`get(rrSim, "SimulationStatus")` returns: `"Inactive"`, `"Running"`, `"Paused"`, `"Done"`
Use in wait loops when running non-blocking simulations. Check BOTH `"Done"` and `"Inactive"` — short scenarios may transition past `"Done"` before the poll catches it:
```matlab
status = get(rrSim, "SimulationStatus");
while ~ismember(status, ["Done", "Inactive"])
pause(0.1);
status = get(rrSim, "SimulationStatus");
end
```
---
## Workflow C: Reading Actor State
To get actor information during a step-by-step simulation:
**Note:** `get(rrSim, "ActorSimulation")` always includes the **world actor** (ID 0) at index 1. This is a non-movable root actor, not a vehicle. Skip it or filter by ID when iterating.
**Note:** Actors are only queryable while the simulation is active (Running or Paused). After `"Stop"`, `get(rrSim, "ActorSimulation")` returns empty.
```matlab
% Get all actors — returns a CELL ARRAY, use {idx} not (idx)
actors = get(rrSim, "ActorSimulation");
actorSim = actors{2}; % cell indexing required; index 1 is world actor (ID 0)
% Or find a specific actor by ID (returns a single object)
% NOTE: ActorID must be uint64 — double will fail silently or error
actorSim = Simulink.ScenarioSimulation.find("ActorSimulation", ActorID=uint64(1));
% Read runtime attributes — use getAttribute, NOT property access
pose = getAttribute(actorSim, "Pose"); % 4x4 matrix
velocity = getAttribute(actorSim, "Velocity"); % 1x3 vector
angVel = getAttribute(actorSim, "AngularVelocity"); % 1x3 vector
```
**CRITICAL:** Do NOT use `actorSim.Pose` or `actorSim.Velocity` — these are NOT public properties. Always use `getAttribute(actorSim, "AttrName")`.
Runtime attributes: `"ID"`, `"Pose"`, `"Velocity"`, `"AngularVelocity"`, `"WheelPoses"`, `"LaneLocation"`, `"Children"`, `"Parent"`, `"PhaseStatus"`, `"ActorType"`, `"TrafficSignalRuntime"`, `"TrafficSignalControllerRuntime"`
### Static Attributes (Name, BoundingBox, etc.)
To get an>
Import recorded driving sensor data (GPS, camera, lidar, actor tracks, lanes) into scenariobuilder.* objects (GPSData, CameraData, LidarData, ActorTrackData, Trajectory, laneData) and run preprocessing — synchronize, offset correction, crop, normalizeTimestamps, convertTimestamps. Also: compute actor tracks from lidar when no annotations exist, attach camera/lidar mounting + intrinsics, export to MAT/workspace/timetable/script. Use for raw driving dataset files (KITTI, nuScenes, Waymo, Pandaset, ROS/ROS2 bags, .mat, .csv, .mp4) or driving/vehicle/sensor logs that need wrapping. drivingLogAnalyzer (DLA) is OPT-IN ONLY — invoke only on explicit user request ('DLA', 'open in DLA', 'inspect/explore/analyze the recording') or reported sensor problem (sync drift, timestamp mismatch, overlay misalignment). NEVER auto-launch DLA after wrapping (Rule 0). For 'build scenario / export to RoadRunner / drivingScenario / OpenSCENARIO / Unreal / simulate', hand off to matlab-scenario-builder.
Generate driving scenes, scenarios, road surfaces, and 3D content from already-wrapped scenariobuilder.* sensor data (GPS, camera, lidar, actor tracks) using Scenario Builder for Automated Driving Toolbox. Use to BUILD, EXPORT, or AUGMENT a virtual scenario/scene/map: ego or actor trajectories, trajectory smoothing, OpenCRG road-surface extraction, 3D asset generation, static-object placement, point-cloud georeferencing + elevation, lane-based ego localization, sensor-fusion tracking, scenario-event extraction (cut-ins, hard brakes, near-misses, ADAS disengagements), or export to RoadRunner, drivingScenario, OpenDRIVE, OpenCRG, OpenSCENARIO, or Unreal Engine. Also: log-to-scenario, scenario harvesting, accident/near-miss reconstruction, SOTIF (ISO 21448) and ISO 26262 scenario coverage, USGS-aerial-lidar scene augmentation, traffic-sign placement from camera+lidar logs. NOT for raw-data import or multi-sensor sync/crop/offset/timestamp normalization — route those to matlab-driving-data-importer.
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Build, modify, and diagram SimBiology models — API reference, helper functions, and layout patterns. Use when constructing or editing models programmatically or visually.