Location and tracking of robot end-effector based on stereo vision

Altaf Hussain Rajpar, Qiatig Huang, Yunting Pang, Yie Tian, Kejie Li

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

13 Citations (Scopus)

Abstract

In this paper stereo vision based tracking system for humanoid robot is proposed. The goal is to locate and track the end-effector in unknown and dynamic environments. A robust approach is developed by utilizing visual features. Identical visual features such as color, disparity and adaptive template matching are used to detect and track the end-effector robustly. An improved active search method is used in order to realize effective tracking of end-effector. Active search stereo vision system of humanoid robot is designed. Two computers are embedded in to the system to realize real time robust tracking of end-effector. One computer is used for processing visual information and other one is responsible for servo control of pan-tilt platform on which CCD cameras are mounted. The performance of the developed modular visual cues based tracking of end-effector is exploited through experiments.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006
Pages1140-1145
Number of pages6
DOIs
Publication statusPublished - 2006
Event2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006 - Kunming, China
Duration: 17 Dec 200620 Dec 2006

Publication series

Name2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006

Conference

Conference2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006
Country/TerritoryChina
CityKunming
Period17/12/0620/12/06

Keywords

  • End-effector tracking disparity
  • Template matching and active search stereo platform

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