Robotics
Depth on reflective, transparent and dark surfaces for robot picking and handling
Robotics Applications
Warehouse Automation
High-speed logistics robot navigation
Surgical Robotics
Sub-millimeter precision control
Service Robots
Safe human-robot interaction
Agricultural Robots
Precision farming and automated harvesting
Use Cases
A Few Reflective Parts Can Stop a Line
Depth reconstruction of mirror-finish metal, glass and transparent parts is still an open problem in robotics research. Structured light cannot find its projected pattern on a mirror surface. In a bin, reflections between parts can also create surfaces that do not exist.
The cost is not only a small loss of accuracy. The process stops. If the system cannot compute a grasp pose and the bin has no other target, the line waits for an operator.
Two Steps, Two Requirements
See the part: LUC-VISION™ measures depth with FMCW coherent detection. The measurement uses the frequency difference of the echo, not the diffuse reflection of the surface. Mirror or matte finish and texture do not decide whether the sensor gets an image.
Grasp it reliably: a grasp pose needs the complete surface geometry, not a few sample points. Holes in the point cloud on reflective and transparent parts are a common cause of failed grasp planning.
Applications
Mixed-material sorting, grip monitoring in precision assembly, and service robots that work near glass doors and stainless steel surfaces.
Discuss Your Application
Talk to our engineers about how to integrate our photonic sensors into your application
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