Comau introduces MI.RA/OnePicker, the latest machine detection and identification solution in the MI.RA family. This simple and intelligent system enhances worker well-being and overall efficiency by eliminating unsustainable sorting efforts across industries. As a hardware-independent solution, MI.RA/OnePicker uses artificial intelligence to combine advanced vision technology with sensors that are able to calculate grab positions and grab randomly placed objects in seconds. The compact and lightweight robotic visual guidance system proactively determines the most efficient way to empty the silo, saving costs and reducing potential risks.

IC200MLD650 Function Features & Application Scenarios

MI.RA/OnePicker is designed to automatically pick a wide range of objects from the same bin without relying on CAD assistance or prior knowledge of an object’s size, shape, color or features. The solution can be adapted to any brand of commercial robot, custom silo or custom gripper and is ideal for pickup, assembly, sorting, warehousing, e-commerce and more.

MI.RA/OnePicker uses simplified virtual simulation tools and predictive algorithms to ensure optimal path management and collision-free trajectory-providing unmatched accuracy and reliability while reducing costly and repetitive manual operations.

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Nicole Clement, Head of Comau’s Advanced Automation Solutions business unit, said,

Our goal is to make it easier and more effective for industries to use complex technologies. MI.RA/OnePicker is the result of our continuous efforts. Comau is committed to providing automation to companies of all sizes through intelligent robotic solutions, and now our business has expanded to complex sorting operations in industries such as warehousing and manufacturing. Based on our internal estimates and supporting studies, this market is expected to achieve a CAGR of 76% (2019-2025).

IC200MLD650 Comau’s flexible systems-based automation enables the company to offer turnkey solutions that are powerful and easy to use. MI.RA/OnePicker utilizes proprietary automation and machine learning technologies, and the configuration page is highly intuitive so customers can easily set up the silo environment and specific parameters. The integrated algorithm calculates the ideal balance between speed and accuracy based on user-defined 3D models of the silo, environment and robot. In addition, the neural network autonomously recognizes the surface of the object that can be grasped by the suction cup, thus finding the most suitable grasping point, ensuring efficient path planning and safe collision-free movement trajectory, while achieving the best robot grasping performance.