Personalizing a Service Robot by Learning Human Habits from Behavioral Footprints  

作　　者：Kun Li Max Q.-H.Meng 

机构地区：[1]California Institute of Technology [2]The Chinese University of Hong Kong

出　　处：《Engineering》2015年第1期79-84,共6页工程（英文）

基　　金：supported in part by Hong Kong RGC GRC (CUHK14205914 and CUHK415512)

摘　　要：For a domestic personal robot, personalized services are as important as predesigned tasks, because the robot needs to adjust the home state based on the operator's habits. An operator's habits are composed of cues, behaviors, and rewards. This article introduces behavioral footprints to describe the operator's behaviors in a house, and applies the inverse reinforcement learning technique to extract the operator's habits, represented by a reward function. We implemented the proposed approach with a mobile robot on indoor temperature adjustment, and compared this approach with a baseline method that recorded all the cues and behaviors of the operator. The result shows that the proposed approach allows the robot to reveal the operator's habits accurately and adjust the environment state accordingly.For a domestic personal robot, personalized services are as important as predesigned tasks, because the robot needs to adjust the home state based on the operator＇s habits. An operator＇s habits are composed of cues, behaviors, and rewards. This article introduces behavioral footprints to describe the operator＇s behaviors in a house, and applies the inverse reinforcement learning technique to extract the operator＇s habits, represented by a reward function. We implemented the proposed approach with a mobile robot on indoor temperature adjustment, and compared this approach with a baseline method that recorded all the cues and behaviors of the operator. The result shows that the proposed approach allows the robot to reveal the operator＇s habits accurately and adjust the environment state accordingly.

关 键 词：personalized robot habit learning behavioralfootprints 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置] G40-057[自动化与计算机技术—控制科学与工程]