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roadrunner-scenario-simulating

Expert guidance for simulating RoadRunner scenarios via the MATLAB programmatic API and Simulink co-simulation

Install / Use

npx skills add matlab/matlab-agentic-toolkit --skill roadrunner-scenario-simulating

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

90/100

Supported Platforms

Universal

Our assessment of roadrunner-scenario-simulating

roadrunner-scenario-simulating scores 90/100 on our quality scale, 1531st of 4,582 Development & Engineering skills we index (top 34%).

Its SKILL.md is 22 KB long, well organised into 30 sections with 14 code examples: a thorough specification that gives an agent plenty to work with.

With 1,098 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
30/30
Structure
20/20
Description
12/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 21 days ago, so roadrunner-scenario-simulating is actively maintained.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

roadrunner-scenario-simulating compared with similar skills

All 4 of these similar skills score higher than roadrunner-scenario-simulating; compare them before choosing.

SkillScoreStarsUpdatedFormat
roadrunner-scenario-simulating (this skill)by matlab901.1k21d agoSKILL.md
Agent-Reachby Panniantong10092.6k21d agoCLAUDE.md
headroomby headroomlabs-ai10074.5ktodayCLAUDE.md
ai-job-searchby MadsLorentzen10045.1k1d agoCLAUDE.md
claude-howtoby luongnv8910041.8k6d agoCLAUDE.md

Frequently asked questions

How do I install roadrunner-scenario-simulating?
Run npx skills add matlab/matlab-agentic-toolkit --skill roadrunner-scenario-simulating. The install tabs above show the steps for each supported agent.
Which AI agents does roadrunner-scenario-simulating work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is roadrunner-scenario-simulating safe to use?
It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is roadrunner-scenario-simulating still maintained?
The repository was last updated 21 days ago, so roadrunner-scenario-simulating is actively maintained.

name: roadrunner-scenario-simulating description: > Expert guidance for simulating RoadRunner scenarios via the MATLAB programmatic API and Simulink co-simulation. Use when the user wants to run a simulation, step through a simulation, control actors during co-simulation, add observers, attach sensors, retrieve simulation logs, or read/write scenario variables. Covers simulateScenario, createSimulation, ScenarioSimulation set/get, ActorSimulation getAttribute/setAttribute, addObserver, SensorSimulation, Simulink co-sim blocks, and publishActorBehavior. NOT for project setup, scene building, scenario authoring, or trajectory export. license: https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md metadata: author: MathWorks version: "1.0"

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:

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.

% 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:

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.

% 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 actor's name or other static properties, use ActorModel — NOT getAttribute(actorSim, "Name") (which does not exist):

actorModel = get(actorSim, "ActorModel");
actorName = getAttribute(actorModel, "Name");
boundingBox = getAttribute(actorModel, "BoundingBox");

Static attributes on ActorModel: "ID", "Name", "PaintColor", "BoundingBox", "WheelSpec", "TrafficSignalSpec", "TrafficSignalControllerSpec"


Workflow D: Co-Simulation with MATLAB System Object

Architecture

  1. Assign a behavior to the actor (see below)
  2. In MATLAB: Write a System object that controls the actor at runtime
  3. The System object finds itself using Simulink.ScenarioSimulation.find

Assigning Behaviors

R2024a: Assign behaviors in the RoadRunner Scenario Editor UI only (no MATLAB API).

R2025a+: Assign behaviors programmatically via the roadrunnerAPI authoring interface:

rrApi = roadrunnerAPI(rrApp);
prj = rrApi.Project;
scnro = rrApi.Scenario;

% Get or create a behavior asset
behaviorAsset = getAsset(prj, "Behaviors/MyBehavior.rrbehavior", "BehaviorAsset");

% Assign to an existing actor
car.BehaviorAsset = behaviorAsset;

Key points:

  • roadrunnerAPI(rrApp) provides access to Project and Scenario objects
  • Use getAsset(prj, path, "BehaviorAsset") to retrieve existing .rrbehavior assets
  • Use createAsset(prj, path, "BehaviorAsset") to create new behavior assets
  • After creating a behavior asset, set its platform: setPlatform(behaviorAsset, "SimulinkPlatform") — this is correct for BOTH MATLAB System objects and Simulink models. Do NOT use "MATLAB", "External", or "MATLABSystem" (they are not registered)
  • Assign via the BehaviorAsset property on Vehicle/Character/MovableObject
  • There is NO setBehavior() function — use property assignment instead

System Object Pattern

classdef MyActorController < matlab.System
    properties (Access = private)
        ActorSim  % ActorSimulation handle
    end

    methods (Access = protected)
        function setupImpl(obj)
            obj.ActorSim = Simulink.ScenarioSimulation.find( ...
                "ActorSimulation", SystemObject=obj);
        end

        function stepImpl(obj)
            action = getAction(obj.ActorSim, "PathAction");
            currentPose = getAttribute(obj.ActorSim, "Pose");

            % Modify pose
            currentPose(1,4) = currentPose(1,4) + 0.5;
            setAttribute(obj.ActorSim, Pose=currentPose);

            % Signal action completion (guard: ActionID may not exist)
            if ~isempty(action) && isfield(action, "ActionID")
                sendEvent(obj.ActorSim, "ActionComplete", action.ActionID);
            end
        end
    end
end

Actor Control Methods

setAttribute(actorSim, Pose=poseMatrix);            % 4x4
setAttribute(actorSim, Velocity=[vx vy vz]);        % 1x3
setAttribute(actorSim, AngularVelocity=[wx wy wz]); % 1x3

action = getAction(actorSim, "PathAction");
action = getAction(actorSim, "SpeedAction");
action = getAction(actorSim, "LaneChangeAction");

sendEvent(actorSim, "ActionComplete", actionID);
sendEvent(actorSim, "UserDefinedEvent", eventName, eventStruct);
eventData = receiveEvent(actorSim, "UserDefinedEvent", eventName);

Workflow E: Co-Simulation with Simulink

Architecture

  1. Create a Simulink model with the RoadRunner Scenario block at root level
  2. Use RoadRunner Scenario Reader blocks to receive data from RoadRunner
  3. Use RoadRunner Scenario Writer blocks to send data back
  4. Publish the behavior: Simulink.publish.publishActorBehavior("myModel", OutputFile="output.slprotodata")
  5. Assign the behavior to an actor (via RoadRunner UI, or programmatically in R2025a+ — see Workflow D)
  6. Start simulation via set_param("myModel", SimulationCommand="start") — NOT sim()

Key Constraints

  • The RoadRunner Scenario block must be at the model root level
  • Use set_param(..., SimulationCommand="start") to start — never sim("model")
  • Sample time in the RoadRunner Scenario block defines the co-sim step size (default 0.02s)
  • One MATLAB instance connects to one RoadRunner co-sim at a time
  • Bus types are loaded from rrScenarioSimTypes.mat

Reader Topics

Actor Pose, Specifications, Lane Location, Vehicle Wheel Poses, Traffic Signals, Target Poses, Lane Boundaries, Actions (Path/Speed/Lane Change/etc.), User-Defined Events

Writer Topics

Actor Pose, Vehicle Pose, Action Complete, User-Defined Events, Diagnostics

See references/simulink-cosim-details.md for block configuration and bus types.


Workflow F: Observers (Read-Only Monitoring)

Observers monitor simulation state without modifying it. Unlike co-sim behaviors (assigned in UI), observers are added programmatically.

rrSim = createSimulation(rrApp);
addObserver(rrSim, "VelocityMonitor", "MyVelocityObserver");
simulateScenario(rrApp, IsBlocking=false);
% Observer's stepImpl is called each step automatically

Note: The observer .m file must be on the MATLAB path. Use addpath if needed. Call addObserver BEFORE starting the simulation.

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars1.1k
CategoryDevelopment
Updated21d ago
Forks134

Languages

MATLAB

Trust signals

88/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

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