Frontiers of Information Technology & Electronic Engineering
>> 2022,
Volume 23,
Issue 2
doi:
10.1631/FITEE.2000431
Cloud-assisted cognition adaptation for service robots in changing home environments
Affiliation(s): 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; less
Received: 2020-08-26
Accepted: 2022-02-28
Available online: 2022-02-28
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Abstract
Robots need more intelligence to complete cognitive tasks in home environments. In this paper, we present a new cloud-assisted cognition adaptation mechanism for s, 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 . First, three different methods are proposed to carry out the adaptation procedure, and two key factors of the fusion methods are emphasized. Second, the most suitable method and its settings for the ; 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 for the ;.
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