Frontiers of Information Technology & Electronic Engineering
>> 2019,
Volume 20,
Issue 8
doi:
10.1631/FITEE.1800275
Orginal Article
Finding misplaced items using amobile robot in a smart home environment
1. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
2. School of Electrical and Computer Engineering, Oklahoma State University, Stillwater OK 74078, USA |
Available online: 2019-09-23
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Abstract
Smart homes can provide complementary information to assist home service robots. We present a robotic misplaced item finding (MIF) system, which uses human historical trajectory data obtained in a smart home environment. First, a multi-sensor fusion method is developed to localize and track a resident. Second, a path-planning method is developed to generate the robot movement plan, which considers the knowledge of the human historical trajectory. Third, a real-time object detector based on a convolutional neural network is applied to detect the misplaced item. We present MIF experiments in a smart home testbed and the experimental results verify the accuracy and efficiency of our solution.
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