Deep Learning Robotics (DLRob) announced the launch of a new feature in its AI vision-based controller, enabling robots to autonomously pack and stack various objects with little to no setup time. The system is a significant advancement in autonomous robots.
The new feature allows for self-training using generated synthetic and actual performance data. The vision-based controller provides adaptability and accuracy without the need for user demonstration.
The self-training approach can potentially transform various industries, from logistics and warehousing to manufacturing and beyond. Initially, the feature will be made available to a selected group of partners and clients, with full availability planned for the next version of the controller.
The system intelligently analyses the shape and size of objects to optimize the packing and stacking process. It continuously learns from its own experiences, refining its performance over time to adapt to various scenarios to ensure consistent, error-free operations.
The autonomous capabilities empower organizations to streamline their processes without robotics engineering efforts.
