{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/incremental-robot-learning-of-new-objects","title":"Incremental Robot Learning of New Objects with Fixed Update Time","arxiv_id":"1605.05045","date":"2016-05-17","proceeding":null,"authors":["Raffaello Camoriano","Giulia Pasquale","Carlo Ciliberto","Lorenzo Natale","Lorenzo Rosasco","Giorgio Metta"],"abstract":"We consider object recognition in the context of lifelong learning, where a\nrobotic agent learns to discriminate between a growing number of object classes\nas it accumulates experience about the environment. We propose an incremental\nvariant of the Regularized Least Squares for Classification (RLSC) algorithm,\nand exploit its structure to seamlessly add new classes to the learned model.\nThe presented algorithm addresses the problem of having an unbalanced\nproportion of training examples per class, which occurs when new objects are\npresented to the system for the first time.\n  We evaluate our algorithm on both a machine learning benchmark dataset and\ntwo challenging object recognition tasks in a robotic setting. Empirical\nevidence shows that our approach achieves comparable or higher classification\nperformance than its batch counterpart when classes are unbalanced, while being\nsignificantly faster.","url_abs":"http://arxiv.org/abs/1605.05045v3","url_pdf":"http://arxiv.org/pdf/1605.05045v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"incremental-robot-learning-of-new-objects","repo_url":"https://github.com/LCSL/incremental_multiclass_RLSC","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"active-learning","task_name":"Active Learning"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"lifelong-learning","task_name":"Lifelong learning"},{"task_slug":"object","task_name":"Object"},{"task_slug":"object-recognition","task_name":"Object Recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}