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Sberbank and Microsoft developed an AI system for robots and taught them how to move bags of coins
Introduced Coinbot robotic system for interacting with objects of irregular shape. Sberbank and Microsoft Research participated in the development.
Image source: Habr
A feature of this project, which was able to implement the research group of the Sberbank Robotics Laboratory together with the Microsoft Research team, is based on artificial intelligence. Thanks to neural networks, the algorithm learned to move bags of coins weighing up to 6 kg using a robotic installation. As it turned out, such a task is quite difficult for a computer, since, unlike solids, bags with cargo have an unstable shape. And during carrying, they can change the center of gravity, due to vibrations. Therefore, the computer is forced each time to re-recognize the position of individual bags (since they can be positioned randomly), calculate the trajectory of the approach so that you can grab a separate bag, move it, not touch the cart and not drop it.
Development took place in three stages. First, employees of both companies (Sberbank and Microsoft Research) created a virtual simulator with a robotic installation and bags of coins. A realistic physics model (weight, deformation, behavior when changing position) has been added to the simulation of bags. After that, a machine learning framework was connected to the simulation environment. During the training, hints from people were also taken into account. As soon as the intelligent agent (task execution algorithm) was ready, it was transferred to a physical robot and tested. From the company’s statement in the demo video, it follows that the system successfully unloaded bags 95% of the time.
According to the authors of the system, it will help free people from mechanical routine work, and can also be applied in other areas. For example, in oil production and, which is very important – in rescue operations, in situations where people have a hard time.