Platform

The technology surface behind the robot workforce.

Deeper reference for technical buyers. Vision, motion, and ERP/MES — described honestly, including the constraints.

Vision

  • Short-range 3D RGB-D, fixed overhead eye-to-hand mount
  • One-time hand-eye calibration is the key accuracy step
  • Classical CV — one-stem-per-bin makes the vision problem tractable
  • Post-grasp re-image measures grip and protrusion before placement

Motion

  • Direct Python control of the collaborative arm
  • Waypoint + inverse kinematics baseline for open cells
  • Optional full motion planner for cluttered layouts
  • Force-mode insertion, scaled per stem fragility

ERP & MES functions

  • Work orders & batch release from Sunflower
  • Real-time consumption and backflush of components
  • Substitution and re-cost when a variety runs short
  • Quality and exception capture per unit
  • Full traceability and unit-level costing
  • Production analytics and utilization reporting

Throughput & honest constraints

  • The post-grasp re-image trades a few seconds per stem for grip certainty
  • Wired low-latency network is required, not optional
  • Matte backdrop and controlled lighting recommended
  • SKU family selection matters — start where the geometry is stable

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