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- W4328047488 abstract "When deploying a robot to a new task, one often has to train it to detect novel objects, which is time-consuming and labor-intensive. We present TAILOR -- a method and system for object registration with active and incremental learning. When instructed by a human teacher to register an object, TAILOR is able to automatically select viewpoints to capture informative images by actively exploring viewpoints, and employs a fast incremental learning algorithm to learn new objects without potential forgetting of previously learned objects. We demonstrate the effectiveness of our method with a KUKA robot to learn novel objects used in a real-world gearbox assembly task through natural interactions." @default.
- W4328047488 created "2023-03-22" @default.
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- W4328047488 date "2022-05-23" @default.
- W4328047488 modified "2023-09-26" @default.
- W4328047488 title "TAILOR: Teaching with Active and Incremental Learning for Object Registration" @default.
- W4328047488 doi "https://doi.org/10.48550/arxiv.2205.11692" @default.
- W4328047488 hasPublicationYear "2022" @default.
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