Real-time learning and recognition of assembly activities based on virtual reality demonstration

  • Ning Zhang
  • , Tao Qi
  • , Yongjia Zhao*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Teaching robots to learn through human demonstrations is a natural and direct method, and virtual reality technology is an effective way to achieve fast and realistic demonstrations. In this paper, we construct a virtual reality demonstration system that uses virtual reality equipment for assembly activities demonstration, and using the motion data of the virtual demonstration system, the human demonstration is deduced into an activity sequence that can be performed by the robot. Through experimentation, the virtual reality demonstration system in this paper can achieve a 95% correct rate of activity recognition. We also created a simulated ur5 robotic arm grasping system to reproduce the inferred activity sequence.

Original languageEnglish
Article number6201
JournalSensors
Volume21
Issue number18
DOIs
StatePublished - Sep 2021

Keywords

  • Activity recognition
  • Learn from demonstration
  • Virtual reality

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