Big data analytics as a service for affective humanoid service robots

Ming Jiang; Li Zhang

doi:10.1016/j.procs.2015.07.288

Big data analytics as a service for affective humanoid service robots

Ming Jiang, Li Zhang

Research output: Contribution to journal › Article › peer-review

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Abstract

This paper identifies and analyses the advanced capability requirements for humanoid service robots to serve in highly complicated and intelligence demanding applications, such as children education and home care, in future smart home environments. In particular, a Distributed Collaboration and Continuous Learning (DCCL) mechanism is identified as the key capability of a humanoid service robot to succeed in these applications. Based on the latest Big Data Analytics tools with distributed machine learning technologies integrated as services, a novel DCCL middleware platform is developed to facilitate the realisation of the DCCL mechanism. A user preference based children toy recommendation application is introduced as a use case study of the DCCL mechanism and platform.

Original language	English
Pages (from-to)	141-148
Journal	Procedia Computer Science
Volume	53
DOIs	https://doi.org/10.1016/j.procs.2015.07.288
Publication status	Published - 2015
Event	INNS Conference on Big Data 2015 Program - San Francisco, CA Duration: 1 Jan 2015 → …

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title = "Big data analytics as a service for affective humanoid service robots",

abstract = "This paper identifies and analyses the advanced capability requirements for humanoid service robots to serve in highly complicated and intelligence demanding applications, such as children education and home care, in future smart home environments. In particular, a Distributed Collaboration and Continuous Learning (DCCL) mechanism is identified as the key capability of a humanoid service robot to succeed in these applications. Based on the latest Big Data Analytics tools with distributed machine learning technologies integrated as services, a novel DCCL middleware platform is developed to facilitate the realisation of the DCCL mechanism. A user preference based children toy recommendation application is introduced as a use case study of the DCCL mechanism and platform.",

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AB - This paper identifies and analyses the advanced capability requirements for humanoid service robots to serve in highly complicated and intelligence demanding applications, such as children education and home care, in future smart home environments. In particular, a Distributed Collaboration and Continuous Learning (DCCL) mechanism is identified as the key capability of a humanoid service robot to succeed in these applications. Based on the latest Big Data Analytics tools with distributed machine learning technologies integrated as services, a novel DCCL middleware platform is developed to facilitate the realisation of the DCCL mechanism. A user preference based children toy recommendation application is introduced as a use case study of the DCCL mechanism and platform.

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SN - 1877-0509

T2 - INNS Conference on Big Data 2015 Program

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Big data analytics as a service for affective humanoid service robots

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