典型文献
Cloud-assisted cognition adaptation for service robots in changing home environments
文献摘要：
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.
文献关键词：
中图分类号：
作者姓名：
Qi WANG;Zhen FAN;Weihua SHENG;Senlin ZHANG;Meiqin LIU
作者机构：
College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China;School of Electrical and Computer Engineering,Oklahoma State University,Stillwater,OK 74078,USA;Institute of Artificial Intelligence and Robotics,Xi'an Jiaotong University,Xi'an 710049,China
文献出处：
引用格式：
[1]Qi WANG;Zhen FAN;Weihua SHENG;Senlin ZHANG;Meiqin LIU-.Cloud-assisted cognition adaptation for service robots in changing home environments)[J].信息与电子工程前沿（英文）,2022(02):246-257
A类：
B类：
Cloud,assisted,cognition,adaptation,service,robots,changing,home,environments,Robots,need,more,intelligence,complete,cognitive,tasks,In,this,paper,we,present,new,cloud,mechanism,which,learns,knowledge,from,other,detection,approach,implemented,changes,user,trigger,procedure,that,adapts,local,customized,model,environmental,while,achieved,by,transferring,global,through,fusion,First,three,different,methods,are,proposed,carry,out,two,key,factors,emphasized,Second,most,suitable,its,settings,determined,Third,case,study,learning,experimental,results,verify,efficiency,effectiveness,our,solutions,lead,empirical,guideline
AB值：
0.500316
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