R&D allows robots to “represent” their actions based on images, greatly reducing the need for multiple demonstrations. This solution helps robots better cope with tasks that require spatial generalization and improves their ability to learn in different environments.
Using commonly available 3D models and images, the R&D method effectively reduces training data requirements. In a series of simulations and real-life experiments, robots successfully completed tasks such as cleaning cabinets and opening drawers.
Source: Ferra
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