IEEE\RSJ International Conference on Intelligent Robots and Systems(IROS 2019)包括全体会议和主题演讲、技术会议、研讨会和教程、论坛、先驱演讲和展览,以丰富与会人员之间富有成果的讨论。它是机器人与智能系统领域的旗舰国际会议,由IEEE、IEEE机器人与自动化协会(RAS)、IEEE工业电子协会(IES)、日本机器人协会(RSJ)、仪器与控制工程师协会(SICE)和新技术基金会(NTF)共同赞助。IEEE是一个非盈利的技术专业协会,在160个国家拥有40多万会员。它是从计算机工程、生物医学技术和电信到电力、航空航天和消费电子等技术领域的领先权威。官网链接:https://www.iros2019.org/

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This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Lifelong Object Recognition Challenge) with methods and results from the top $8$ finalists (out of over~$150$ teams). The competition dataset (L)ifel(O)ng (R)obotic V(IS)ion (OpenLORIS) - Object Recognition (OpenLORIS-object) is designed for driving lifelong/continual learning research and application in robotic vision domain, with everyday objects in home, office, campus, and mall scenarios. The dataset explicitly quantifies the variants of illumination, object occlusion, object size, camera-object distance/angles, and clutter information. Rules are designed to quantify the learning capability of the robotic vision system when faced with the objects appearing in the dynamic environments in the contest. Individual reports, dataset information, rules, and released source code can be found at the project homepage: "https://lifelong-robotic-vision.github.io/competition/".

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