'simulator' 검색 결과

Reads and summarises ScenarioRunner output — the criteria pass/fail tables from --output/--file, the machine-readable --json and --junit result files, and the criteria JSON written alongside a --record recording — and runs the metrics module (metrics_manager.py) to compute custom measurements over a recorded run offline, without the simulator. Use when the user asks "did the scenario pass", "why did it fail", "summarise these results", "compare these runs", or wants distance/speed/lane metrics from a recording.

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Use XcodeBuildMCP to build, run, launch, and debug the current iOS project on a booted simulator. Trigger when asked to run an iOS app, interact with the simulator UI, inspect on-screen state, capture logs/console output, or diagnose runtime behavior using XcodeBuildMCP tools.

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Build and optimize quantum circuits with PennyLane, including models that combine quantum circuits with PyTorch or JAX. Explore molecular energy estimation and optimization problems, validate values and gradients in simulation, and prepare tested circuits for provider plugins.

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• Check quantum circuit values and gradients in simulation
• Train hybrid quantum and PyTorch or JAX models
• Estimate molecular energies with VQE

Review a marketing plan by clarifying the customer, their need, and the product’s positioning. Examine acquisition channels, customer acquisition costs, and payback periods, then produce a verdict and three concrete next steps.

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• Reviewing a campaign before launch
• Revising positioning or a tagline
• Assessing spending on a new acquisition channel

Create and validate SRDF files that define how MoveIt2 plans robot motion. Check planning groups, named poses, end effectors, and collision exclusions against an existing URDF robot model, then review the model visually.

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• Define planning groups for a robot arm
• Check named poses and joint limits
• Review collision exclusion settings

Fill documentation gaps identified by a CARLA documentation audit, following the project's writing style. Work through one category at a time, assess which findings deserve entries, update source files, and report changes and skipped findings.

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• Add missing Python API documentation
• Expand sensor reference documentation
• Review outdated API entries for renaming or removal

Check which CARLA features are missing on UE 5.5 compared with UE 5.8. Read source markers to identify the checkout, review unsupported workflows, and see which UE 5.8 procedures also apply.

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• Checking whether Autoware can be used on UE 5.5
• Reviewing ROS 2 middleware restrictions
• Investigating a black screen when loading Town12

Create, migrate, refine, or debug CARLA vehicle assets with Blender and Unreal. Use real vehicle references to guide geometry and materials, configure wheels, lights, and physics, and deliver editable sources with evidence from runtime validation.

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• Creating a CARLA vehicle from real vehicle references
• Refining tires, materials, or body geometry
• Migrating vehicles and debugging Unreal integration

Build CARLA for Unreal Engine 5.8 using CMake, the tool that configures its build process. The skill guides engine setup, optional ROS 2 support, Python API rebuilding, editor builds, and checks that the expected files were actually produced.

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• Building CARLA for Unreal Engine 5.8
• Building and verifying native ROS 2 support
• Rebuilding the Python API after client changes

Guides custom map imports into CARLA on UE 5.8, from FBX geometry and OpenDRIVE road data to packaging or temporary road generation. Helps choose a supported route and verify map files and loading.

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• Testing a road network from an OpenDRIVE file
• Importing a town with buildings into the editor
• Including a custom map in a server package

Prepare and launch Autoware with CARLA on UE 5.8 through its native ROS 2 interface. Check communication topics and sensors, generate required maps, and configure either the classical stack or camera-only VAD model.

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• Check whether a CARLA build supports Autoware
• Inspect topics exchanged between CARLA and Autoware
• Generate lanelet2 and point-cloud maps for a town

Import a custom pedestrian into CARLA on UE 5.8, connect it to the shared animation skeleton, and verify that it moves. Export an existing walker as an FBX starting point or investigate a walker that stands still.

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• Add a custom pedestrian to CARLA
• Export an existing walker as an FBX for editing
• Investigate a walker that spawns but does not move

Package a CARLA server built with UE 5.8 for distribution, choosing which maps to include. Inspect the resulting files for mismatched containers, missing road data, and exposure settings that can cause runtime failures.

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• Packaging a CARLA server with selected maps
• Investigating a black screen in a packaged server
• Checking road data and package consistency

Import FBX 3D models into CARLA on UE 5.8 and register them as props that can be placed in a simulation. Check measured dimensions, adjust scale, verify placement on a running server, and undo imports when needed.

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• Add a custom bench or object to CARLA
• Fix imported props missing from the blueprint library
• Import a folder of props organized by tag

Drives a CARLA vehicle to a specific destination using navigation agents that plan routes, avoid obstacles, and obey traffic lights. Can also plan and draw a route between two points without moving the vehicle.

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• Driving a vehicle to specified coordinates
• Navigating to a chosen junction
• Planning and drawing a route without driving

Validate CARLA pedestrian navigation by sampling walkable locations and reporting their coverage. Draw the samples as debug points to inspect the walkable area after a map import or investigate pedestrians that will not move.

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• Checking pedestrian navigation after importing a map
• Investigating pedestrians that stand still
• Visualizing the area pedestrians can walk through

Downloads CARLA release packages, nightly builds, source code, or Docker images, then reports their locations and environment variables for follow-up setup. Supports extra maps and resumable downloads, helping prepare the files needed for subsequent installation or building.

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• Getting CARLA for the first time
• Downloading an older version to reproduce a bug
• Fetching additional maps

Check whether a CARLA feature is usable in the current environment and has a verified procedure. Review known failures, inspect build settings, and identify differences between client, server, and source versions before planning work.

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• Check whether a CARLA feature has a verified procedure
• Review known failures before following a UE4 tutorial
• Inspect build flags for ROS 2 or RSS support

Adjust how autopilot vehicles behave in CARLA, including speed, following distance, traffic light responses, and lane changes. Apply settings across traffic or to individual vehicles, and configure seeds and synchronization for repeatable traffic runs.

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• Adjust traffic speed and following distance
• Create traffic that ignores lights or other vehicles
• Change lane behavior for an individual autopilot vehicle

Evaluate a driving agent on CARLA Leaderboard routes after checking the required setup. Select routes and repetitions, save driving scores and infractions, record runs, and resume interrupted evaluations from a saved checkpoint.

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• Smoke-test a Leaderboard setup on one route
• Evaluate an agent across validation routes
• Resume an evaluation after a crash

Inspect a running CARLA simulation and identify vehicles or pedestrians by type, role, color, or proximity. Retrieve their IDs, scene snapshots, static object bounds, ground positions, and expected ROS 2 topics with reasons for missing publications.

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• Find the red Prius and retrieve its actor ID
• Identify the pedestrian nearest the ego vehicle
• Inspect scene state and ground height

Read existing CARLA sensors to view live camera or lidar output, save recordings, or inspect a single reading. Display multiple sensors together and check ROS 2 topic names, delivery settings, and whether publishing is enabled.

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• View a vehicle camera feed live
• Save camera images or lidar data for a fixed duration
• Inspect a GNSS sensor reading

Inspect CARLA driving simulation logs without replaying them. Get recording details, find collisions by participant category, and identify vehicles that barely moved, with times and object IDs to locate moments worth reviewing.

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• Check a recording's map, duration, frames, and participants
• Find collisions between vehicles and pedestrians
• Identify vehicles that remained stuck

List, switch, or reload maps on a running CARLA server, or generate a world from road files. Preserve simulation settings when needed and verify the resulting map name, timing settings, and rendering mode.

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• List available maps and switch towns
• Keep synchronous simulation settings when switching maps
• Generate a road world from an OpenDRIVE file