CORE CONCEPTS

Point clouds

Point clouds describe physical objects and spaces as 3D coordinates. Group points by object id and kind so Rowe can reason about fit, placement, stability, motion, and scene structure.

Request fields

Send a model id and an input object containing the spatial context for the task.

modelstring

Model id. Use rowe-1.0.

input.task_typestring

fit, stability, placement, embed, understand, reconstruct, predict, act, or optimize.

input.point_cloud_sceneobject

Current 3D scene with one or more point cloud groups.

input.previous_point_cloud_sceneobject

Optional previous scene for temporal prediction.

input.image / input.imagesobject

Optional raster frames, depth maps, or multi-view visual context.

input.sensor_readingsobject

Optional IMU, GPS, BLE, WiFi, altimeter, or device state readings.

input.goalobject

Optional target state for action, routing, placement, or optimization tasks.

input.object_idstring

Primary object id used by fit, stability, placement, and tracking tasks.

input.secondary_idstring

Target or container object id for fit and placement tasks.

input.detailstring

Use compact to reduce structured prediction detail for small or latency-sensitive requests.