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Roadmap

Version 1.0

Estimated for July 2023

  • Creation of standard palletizing plans.
  • Export of the program into Fanuc robot native code (TP).
  • Management of the most common Fanuc robot models.
  • Support for basic robot configuration (e.g., coordinates of the working area, robot parameters).
  • Supported languages: English and French.

Version 1.1

Estimated for Q3 2023

  • Support for mobile and semi-fixed jaw grippers.
  • Support for simultaneous multiple gripping.
  • Stability verification module for pallets.

Version 1.2

Estimated for Q4 2023

  • 3D simulation of palletizing programs.
  • Addition of a linear axis controllable by the robot.

Version 2.0

Estimated for Q1 2024

  • Addition of "Online" mode allowing code editing during production.
  • Complex palletizing architecture.
  • Separation of recipes and zones by variable context.
  • Updating of object sizes during production.
  • Addition of floating licenses.
  • Predictive maintenance for robots.

Planned additions without a defined date

On customer request

  • Palletizing inside boxes.
  • Integration with Warehouse Management Systems (WMS).
  • Support for conveyor and warehouse automation systems (AGV).
  • Import and export of palletizing plans via an API for easy integration with other systems.
  • Space optimization module (Pallet Rack Layout).
  • Pallet placement in trucks.
  • Load balancing module for managing multiple robots.

Improvements

  • Support for cylinder grip.
  • Import of standard CAD assembly (Step format).
  • Addition of new languages (German, etc.).
  • Partial import of another project.

New modules

  • Supervision.
  • Real-time visualization of the factory.
  • Export of robot performance data for analysis.
  • Inter-robot communication without automation.
  • Allows multiple robots to palletize on the same pallet simultaneously.
  • IHM <-> Stackmill communication during production.
  • Robot control and selection of the current recipe directly from Stackmill.
  • Estimation and reduction of robot energy consumption.
  • Trajectory optimization based on consumption.
  • 2D and 3D Vision.
  • Real-time package measurement to adapt programs.
  • Gripping position correction.