CORE CONCEPTS
Images and sensors
Use images, image views, depth frames, GPS, IMU, BLE, Wi-Fi, or other sensor readings to add visual and device-state context to a spatial request.
Request fields
Send a model id and an input object containing the spatial context for the task.
modelstringModel id. Use rowe-1.0.
input.task_typestringfit, stability, placement, embed, understand, reconstruct, predict, act, or optimize.
input.point_cloud_sceneobjectCurrent 3D scene with one or more point cloud groups.
input.previous_point_cloud_sceneobjectOptional previous scene for temporal prediction.
input.image / input.imagesobjectOptional raster frames, depth maps, or multi-view visual context.
input.sensor_readingsobjectOptional IMU, GPS, BLE, WiFi, altimeter, or device state readings.
input.goalobjectOptional target state for action, routing, placement, or optimization tasks.
input.object_idstringPrimary object id used by fit, stability, placement, and tracking tasks.
input.secondary_idstringTarget or container object id for fit and placement tasks.
input.detailstringUse compact to reduce structured prediction detail for small or latency-sensitive requests.