Bound the task
Specify the items, packaging, environment, handoff, and failure conditions. A narrow task gives us a result we can actually interpret.
Research method
We use simulation to find questions worth testing, then define the physical evidence needed to answer them.
Specify the items, packaging, environment, handoff, and failure conditions. A narrow task gives us a result we can actually interpret.
Render training data, test perception, and run pick cycles. Report the setup and the limits alongside each result.
Track missed detections, bad grasps, drops, and recovery. A success rate without a failure breakdown hides the next engineering problem.
Before deployment, test physical packages, lighting changes, safety, intervention frequency, maintenance, and installed economics with an operator.
A synthetic-data score is not a real-camera score. A rendered cycle is not a throughput guarantee. A cost model is not a supplier quote. Retail Lab remains simulation-stage research; no physical store has been deployed by this lab.
Collaborate with the lab.
We want to hear from robotics engineers, operators, and potential pilot hosts. Bring a real task and the constraints that matter.
Get in touch