Estimation of body direction based on gait for service robot applications

Ayanori Yorozu, Masaki Takahashi

Research output: Contribution to journalArticle

Abstract

Recently, there have been several studies on the research and development of service robots, such as reception or waiter robots for facilities and companion robots for support of baggage transportation or guidance in public spaces. Several experimental results in real environments have been reported. To realize socially acceptable human–robot interaction for service robots, human recognition, including not only position but also body direction, around the robot is important. Using an RGB-D camera, it is possible to detect the posture of a person. However, because the viewing angle of the camera is narrow, it is difficult to recognize the environment around the robot with a single device. This study proposes the estimation of the body direction based on the gait, that is, not only the position and velocity, but also the state of the legs (stance or swing phase), using laser range sensors installed at shin height. We verify the effectiveness of the proposed method for several patterns of movement, which are seen when a person interacts with the service robot and evaluate measurement accuracy.

Original languageEnglish
Article number103603
JournalRobotics and Autonomous Systems
Volume132
DOIs
Publication statusPublished - 2020 Oct

Keywords

  • Human–robot interaction
  • Kalman filter
  • Laser range sensor
  • Pedestrian tracking
  • Service robots

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Mathematics(all)
  • Computer Science Applications

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