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作者:

Liu, Chunfang (Liu, Chunfang.) | Li, Xiaoli (Li, Xiaoli.) (学者:李晓理) | Niu, Weijia (Niu, Weijia.) | Li, Qing (Li, Qing.) | Chen, Muxin (Chen, Muxin.)

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EI

摘要:

Robot cooperating with humans is a hot research topic recently. And the first challenge is how to specifically identify humans' intention. In this paper, we propose a two-step approach based on LSTM and SSD for identifying humans' specific intention. A LSTM with attention mechanism is firstly presented for recognizing humans' actions based 3D skeleton data; then, the hand-held objects are detected by a SSD neural network. Finally, a human-robot interaction framework are constructed based on the proposed intention identification model and DMP model. The experiments show that the proposed method can effectively identifying humans' intention. And the robot accomplishes to interact with the human with the built motion database and DMP. © 2019 IEEE.

关键词:

Agricultural robots Behavioral research Biomimetics Human robot interaction Long short-term memory Object detection Robotics

作者机构:

  • [ 1 ] [Liu, Chunfang]Beijing University of Technology, Department of Information, Beijing, China
  • [ 2 ] [Li, Xiaoli]Beijing University of Technology, Department of Information, Beijing, China
  • [ 3 ] [Niu, Weijia]Beijing University of Technology, Department of Information, Beijing, China
  • [ 4 ] [Li, Qing]Beijing University of Technology, Department of Information, Beijing, China
  • [ 5 ] [Chen, Muxin]Beijing University of Technology, Department of Information, Beijing, China

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年份: 2019

页码: 983-988

语种: 英文

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