In this paper we proposed a strategic step to build the Internet of Knowledge(IoK) and explained what is,why important and how to make a proper design.It is a value proposition of the IoK which has valuable role as vi...In this paper we proposed a strategic step to build the Internet of Knowledge(IoK) and explained what is,why important and how to make a proper design.It is a value proposition of the IoK which has valuable role as vital as IoT in building a smart city.展开更多
Robots need more intelligence to complete cognitive tasks in home environments.In this paper,we present a new cloud-assisted cognition adaptation mechanism for home service robots,which learns new knowledge from other...Robots need more intelligence to complete cognitive tasks in home environments.In this paper,we present a new cloud-assisted cognition adaptation mechanism for home service robots,which learns new knowledge from other robots.In this mechanism,a change detection approach is implemented in the robot to detect changes in the user’s home environment and trigger the adaptation procedure that adapts the robot’s local customized model to the environmental changes,while the adaptation is achieved by transferring knowledge from the global cloud model to the local model through model fusion.First,three different model fusion methods are proposed to carry out the adaptation procedure,and two key factors of the fusion methods are emphasized.Second,the most suitable model fusion method and its settings for the cloud–robot knowledge transfer are determined.Third,we carry out a case study of learning in a changing home environment,and the experimental results verify the efficiency and effectiveness of our solutions.The experimental results lead us to propose an empirical guideline of model fusion for the cloud–robot knowledge transfer.展开更多
文摘In this paper we proposed a strategic step to build the Internet of Knowledge(IoK) and explained what is,why important and how to make a proper design.It is a value proposition of the IoK which has valuable role as vital as IoT in building a smart city.
基金Project supported by the National Natural Science Foundation of China(Nos.U21A20485 and 62088102)the Natural Science Foundation of China-Shenzhen Basic Research Center Project(No.U1713216)the Open Research Project of the State Key Laboratory of Industrial Control Technology,Zhejiang University,China(No.ICT20026)。
文摘Robots need more intelligence to complete cognitive tasks in home environments.In this paper,we present a new cloud-assisted cognition adaptation mechanism for home service robots,which learns new knowledge from other robots.In this mechanism,a change detection approach is implemented in the robot to detect changes in the user’s home environment and trigger the adaptation procedure that adapts the robot’s local customized model to the environmental changes,while the adaptation is achieved by transferring knowledge from the global cloud model to the local model through model fusion.First,three different model fusion methods are proposed to carry out the adaptation procedure,and two key factors of the fusion methods are emphasized.Second,the most suitable model fusion method and its settings for the cloud–robot knowledge transfer are determined.Third,we carry out a case study of learning in a changing home environment,and the experimental results verify the efficiency and effectiveness of our solutions.The experimental results lead us to propose an empirical guideline of model fusion for the cloud–robot knowledge transfer.
