In the ever-evolving landscape of robotics and Artificial Intelligence, an interesting and challenging problem is how to educate robots to do jobs on completely unique objects, i.e., objects they have never seen or interacted with previously. The answer to this topic, which has long captivated researchers and scientists, is crucial to transforming robotics. A robot must comprehend and position two objects in a task-specific way along the manipulation trajectory in order to carry out manipulation tasks that require interacting with them. A robot needs to make sure that the spout of the teapot and the aperture of the mug line
This is a companion discussion for the article “Imperial College London Team Develops an Artificial Intelligence Method for Few-Shot Imitation Learning: Mastering Novel Real-World Tasks with Minimal Demonstrations - https://www.marktechpost.com/2023/11/05/imperial-college-london-team-develops-an-artificial-intelligence-method-for-few-shot-imitation-learning-mastering-novel-real-world-tasks-with-minimal-d” submitted on the community's news feed.
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