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A structured light based measuring system used for an autonomous interior finishing robot

  • Huanyong Ji
  • , Xin Jiang*
  • , Yufeng Du
  • , Pengfei Shan
  • , Peng Li
  • , Congyi Lyu
  • , Wei Yang
  • , Yunhui Liu
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen
  • Harbin Institute of Technology
  • Chinese University of Hong Kong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The processings involved in interior finishing work are unhealthy and labor intensive. Thus it is expected that the introduction of autonomous robots can change the situation. This paper describes a robot developed for this purpose. It is designed to implement wall polishing work which belongs to the fundamental wall finishing works and is harmful for workers due to the accompanied dust. The proposed robot system consists of a structured light based 3D scanner and a robot arm (UR5) fixed on an mobile platform. The 3D scanner is adopted for recognizing the defects on the wall surface and measuring its roughness. With these information, it is expected that a robot arm equipped with a specially designed grinder can finish the polishing work. The paper addresses the implementation of the structured light based 3D scanner and the fundamental algorithms for wall surface measurement and the related polishing experiments.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages677-682
Number of pages6
ISBN (Electronic)9781538620342
DOIs
StatePublished - 2 Jul 2017
Event2017 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2017 - Okinawa, Japan
Duration: 14 Jul 201718 Jul 2017

Publication series

Name2017 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2017
Volume2017-July

Conference

Conference2017 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2017
Country/TerritoryJapan
CityOkinawa
Period14/07/1718/07/17

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