Toshiba’s DE-Palletizer Robot with Image Recognition: A Helper for the Modern Logistics Industry
The global logistics sector is growing exponentially as international trade flourishes and global supply chains are expected to be more efficient, smarter and sustainable to support capital and information flows and exchanges. Toshiba shares how its next-generation logistics and efficient delivery management solutions can help address this rising need.
A robot that needs no prior instruction
Using advanced sensors for image recognition, virtual models to simulate complicated conditions and robotic functions to automate transportation of goods, Toshiba’s suite of service offerings eliminates labor intensive operations to contribute to a faster and more efficient logistics environment. One of Toshiba’s technologies is the De-Palletizer Robot, which uses robotics technologies to innovate the work at logistics sites.
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One distinctive feature is that it’s teach-less, in that it automatically recognizes the condition of the boxes and determines what to do with it. It uses a combination of Toshiba’s camera and sensor technologies to measure various factors, recognize the conditions of the boxes automatically and handle them on its own.
It also has a two-sided gripping function (orthogonal mechanism) consisting of grips, equipped with suction cups which stick onto the top of the box and the side closer to the robot, as it moves the object. It can even move boxes made of delicate materials, like those with perforations on the top, securely and without causing damage.
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The robot can handle a maximum of 500 to 600 boxes an hour without any downtime, reducing human involvement and increasing efficiency. It frees up human resources for other tasks, and helps improve efficiency in these sites as a whole. The robot can remain teach-less in the future, even when the products being handled becomes more diverse or complex, because of image recognition technologies.
Automation, using AI and machine learning, is leading the way in how we operate in a logistics environment. In the future, Toshiba plans to incorporate deep learning and other new technologies to improve the performance of the robot and take it to even greater heights, whether that be a loading function or distribution to overseas markets.
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