Visual Servoing Based on Geometric Features by Surface Structured Light

Hong Sheng, Jing Xu*, Ken Chen, Guanglie Zhang

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

2 Citations (Scopus)

Abstract

Traditional visual servoing based on passive vision cannot deal with the non-textured object. Therefore, we propose a method that combines image-based visual servoing with surface structured light. The goal of our method is to realize positioning task of 3 DOFs robot in translational motion. In our approach, the phase map of a non-textured target object is got at first through structured light. Then, the edge is extracted from phase map and is utilized for the robot servo control. An error definition is adopted and the fuzzy PID controller is used for the positioning task. A non-textured white plane has then experimented and the result is satisfying.
Original languageEnglish
Title of host publicationThe 7th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems
PublisherIEEE
Pages57-61
ISBN (Electronic)978-1-5386-0490-8
ISBN (Print)978-1-5386-0491-5
DOIs
Publication statusPublished - Jul 2017
Externally publishedYes
Event7th Annual IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2017) - Sheraton Princess Kaiulani, Hawaii, United States
Duration: 31 Jul 20174 Aug 2017
http://ieee-cyber.org/2017/

Publication series

NameIEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER

Conference

Conference7th Annual IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2017)
Abbreviated titleIEEE-CYBER 2017
Country/TerritoryUnited States
CityHawaii
Period31/07/174/08/17
Internet address

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