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Author:

Li, Li-Ming (Li, Li-Ming.) | Zhao, Jing (Zhao, Jing.) (Scholars:赵京) | Yan, Chao-Jie (Yan, Chao-Jie.)

Indexed by:

EI Scopus

Abstract:

Two sub-problems could be studied in this paper: where the object should be delivered to by a robot (determination of the final target position) and how the robot should handover the object to the position (generation of humanlike motion). First, experiments of different subjects are conducted to explore common characteristics in the optimal handover position. The result shows: at the optimal handover position, all subjects' joint angles are similar. Therefore, the optimal handover position can be determined by forward kinematics based on the measured average joint angles. Then, to plan the humanlike handover motion, a method proposed for a simple obstacle-present environment. And for the improvement of the methods' effectiveness, an experimental comparison has been designed. NAO's right arm is controlled to deliver a cube to the receiver in humanlike and non-humanlike ways, which are scored by subjects. The results show that using the method proposed in this paper to plan the handover motion could make the receiver feel more comfortable and friendlier. © 2018 Acta Press. All rights reserved.

Keyword:

Human robot interaction Robot programming

Author Community:

  • [ 1 ] [Li, Li-Ming]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Zhao, Jing]Mechanical Engineering, Beijing University of Technology, Beijing, China
  • [ 3 ] [Yan, Chao-Jie]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China

Reprint Author's Address:

  • 赵京

    [zhao, jing]mechanical engineering, beijing university of technology, beijing, china

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Source :

Mechatronic Systems and Control

ISSN: 2561-1771

Year: 2018

Issue: 4

Volume: 46

Page: 187-195

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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