Industry fit
Designed for photovoltaic, lithium battery and semiconductor equipment manufacturers.
Smart Factory Solution
Autonomous intelligence for the industrial world
For multi-variety, small-batch and frequent changeover manufacturing, the robot builds reusable embodied AI assembly methods instead of replacing a single station.

Business Challenge
The project serves pre-assembly and flexible assembly capability building for advanced equipment manufacturers.

Designed for photovoltaic, lithium battery and semiconductor equipment manufacturers.
Multi-variety, small-batch production with frequent changeovers.
Higher requirements for assembly quality, process traceability and product adaptation.
The goal is a reusable embodied AI assembly method, not one isolated station.
Key Metrics
First-pass yield, changeover time, utilization, payload, bolt compatibility and model import form the key targets.

>=98%
Target for single component first-pass assembly yield.
<=10min
Target for formal production changeover.
>=95%
Calculated by technical failure time in continuous test.
10kg
Meets maximum material handling requirements.
M3 - M8
Covers common stainless steel and galvanized materials.
<=3 days
Complete import and configuration within the defined boundary.
Highlights
Decouple physical error, use vision localization and fixture compensation, and use VLA zero-shot generalization for fast adaptation.
Perception handles complexity while execution remains stable and verifiable.
Vision localization and fixture compensation keep assembly robust.
Robots adapt quickly to different part loading and unloading tasks.
Talk to LinkedData experts and turn non-standard assembly into reusable intelligent capability.