Shadow robot for teaching motion

Seiichiro Katsura, Yuichi Matsumoto, Kouhei Ohnishi

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Human-friendly robots have begun to spread in society. In the future such robots and intelligent machines should be autonomous in open situations. To give dexterity to a robot, teaching motion is a good candidate. However, there are some problems from the operational point of view due to gravity and friction effects. In this paper, a shadow robot is proposed for teaching motion instead of force sensors. The shadow robot is a novel disturbance compensation method that consists of a twin robot system. Two of the same type of robot are required and they are controlled with the same position, velocity, and acceleration by bilateral acceleration control based on a disturbance observer. One robot is in the teaching motion controlled by a human and the other is unconstrained. Thus the purity of the human force is extracted by subtracting the disturbance torque in the unconstrained robot from the constrained one. As a result, the shadow robot observes the human force with gravity and friction compensation. Since it is possible to apply this concept to a multi-degree-of-freedom system, the human operationality in teaching motion are improved. The experimental results show the viability of the proposed method.

Original languageEnglish
Pages (from-to)840-846
Number of pages7
JournalRobotics and Autonomous Systems
Volume58
Issue number7
DOIs
Publication statusPublished - 2010 Jul 31

Keywords

  • Acceleration control
  • Disturbance observer
  • Force sensing
  • Motion control
  • Real-world haptics
  • Teaching motion

ASJC Scopus subject areas

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

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