Robotics Perception
Early accessGive warehouse robots a wider view of the operation.
Before a robot picks, it needs to know what an item is, where it sits, and whether it can be picked. Attensive measures that from your facility cameras and sends it to your robots by API.
What your robots get
Perception as a service, not a per-cell engineering project.
Dimensions for pickability
Size and volume for each parcel, so the robot knows if it fits before the pick.
Position and orientation
Where each item sits and how it is oriented, from the cameras watching the scene.
Pick / no-pick signals
A per-item go or no-go for picking. Route the rest to manual handling.
Scene context beyond the cell
Robots see their own cell. Attensive sees what is coming next.
Exception evidence
Every failed pick links to a video clip, so teams debug with footage.
Delivered via API
Send signals to your robots, WCS, or integrator through REST and webhooks.
How camera footage becomes a pick decision
Cameras watch the pick area
Existing cameras cover the belt, staging, or cell infeed. No new sensors on the robot.
Attensive measures every item
Our parcel dimensioning engine finds size, position, and orientation for each item.
Your robots consume the output
Signals arrive through the API in time for the robot to pick or skip.
Who it is for
Robotics and automation teams
Add facility-wide perception without a custom vision stack per cell.
Robotics integrators
Use existing site cameras and cut per-cell sensor work.
Operators evaluating automation
Measure your real parcel mix before committing to a robotics program.
Building with enterprise robotics programs.
We are building robotics perception with early enterprise partners. If your automation program needs to know what it can pick, talk to us.