Robotics Perception
Early accessA perception layer for warehouse robotics — from the cameras already on site.
Before a robot can pick an item, it has to know what the item is, where it sits, and whether it can be picked at all. Attensive measures dimensions, position, and pickability from standard facility cameras and delivers it to your robots via API — no per-cell vision engineering.
What your robots get
Perception as a service, not a per-cell engineering project.
Dimensions for pickability
Length, width, height, and volume for each parcel, so the robot knows before the pick whether the item fits its gripper and payload envelope.
Position and orientation
Where each item sits and how it is oriented — on the belt, in staging, or on a pallet — from cameras watching the scene, not sensors on the robot.
Pick / no-pick signals
A per-item decision input: within size limits, clear of neighbors, stable to grasp. Route the rest to manual handling before the robot fails on it.
Scene context beyond the cell
Robots see their own workspace. Attensive sees the whole floor — what is arriving, queuing, and moving toward the cell next.
Exception evidence
Every failed or skipped pick links to an annotated clip, so automation teams can debug with footage instead of log files alone.
Delivered via API
Measurements and signals stream to your robot fleet, WCS, or integrator stack over REST and webhooks — a perception layer you consume, not a vision system you build.
How camera footage becomes a pick decision
Cameras watch the pick area
Existing overhead and angled cameras cover the belt, staging zone, or cell infeed. No new sensors mounted on or around the robot.
Attensive measures every item
The same perception engine behind our parcel dimensioning product recovers dimensions, position, and orientation for each item in the scene.
Your robots consume the output
Pickability signals and measurements arrive over API in time to act — the robot picks what it can and routes around what it can't.
Who it is for
Robotics and automation teams
Add facility-level perception to your fleet without building and maintaining a custom vision stack for every cell and site.
Robotics integrators
Use existing site cameras as a perception source, cutting the per-cell sensor engineering that slows every deployment.
Operators evaluating automation
Measure your real parcel mix — sizes, weights ranges, exceptions — before committing to a robotics program, using the cameras already in place.
Building with enterprise robotics programs.
We are developing robotics perception with early enterprise partners, built on the same measurement engine that powers our parcel dimensioning product. If your automation program needs to know what it can pick, talk to us.