Finding misplaced items using a mobile robot in a smart home environment (original) (raw)

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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Authors and Affiliations

  1. College of Electrical Engineering, Zhejiang University, Hangzhou, 310027, China
    Qi Wang, Zhen Fan, Sen-lin Zhang & Mei-qin Liu
  2. School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, 74078, USA
    Wei-hua Sheng

Authors

  1. Qi Wang
  2. Zhen Fan
  3. Wei-hua Sheng
  4. Sen-lin Zhang
  5. Mei-qin Liu

Corresponding author

Correspondence toMei-qin Liu.

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Qi WANG, Zhen FAN, Wei-hua SHENG, Sen-lin ZHANG, and Mei-qin LIU declare that they have no conflict of interest.

Additional information

Project supported by the Basic Public Research Program of Zhejiang Province, China (No. LGF18F030001) and the Open Research Project of the State Key Laboratory of Industrial Control Technology, Zhejiang University, China (No. ICT1800414)

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Wang, Q., Fan, Z., Sheng, Wh. et al. Finding misplaced items using a mobile robot in a smart home environment.Frontiers Inf Technol Electronic Eng 20, 1036–1048 (2019). https://doi.org/10.1631/FITEE.1800275

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