{"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/color-recognition-for-rubiks-cube-robot","title":"Color Recognition for Rubik's Cube Robot","arxiv_id":"1901.03470","date":"2019-01-11","proceeding":null,"authors":["Shenglan Liu","Dong Jiang","Lin Feng","Feilong Wang","Zhanbo Feng","Xiang Liu","Shuai Guo","Bingjun Li","Yuchen Cong"],"abstract":"In this paper, we proposed three methods to solve color recognition of\nRubik's cube, which includes one offline method and two online methods. Scatter\nbalance \\& extreme learning machine (SB-ELM), a offline method, is proposed to\nillustrate the efficiency of training based method. We also point out the\nconception of color drifting which indicates offline methods are always\nineffectiveness and can not work well in continuous change circumstance. By\ncontrast, dynamic weight label propagation is proposed for labeling blocks\ncolor by known center blocks color of Rubik's cube. Furthermore, weak label\nhierarchic propagation, another online method, is also proposed for unknown all\ncolor information but only utilizes weak label of center block in color\nrecognition. We finally design a Rubik's cube robot and construct a dataset to\nillustrate the efficiency and effectiveness of our online methods and to\nindicate the ineffectiveness of offline method by color drifting in our\ndataset.","url_abs":"http://arxiv.org/abs/1901.03470v1","url_pdf":"http://arxiv.org/pdf/1901.03470v1.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":"color-recognition-for-rubiks-cube-robot","repo_url":"https://github.com/eyeeco/Rubick-s-Cube-Dataset","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"rubik-s-cube","task_name":"Rubik's Cube"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}