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Hand-eye calibration of measurement robot based on multi-population particle swarm optimization

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4 Author(s)
Aiguo Li ; Dalian Maritime Univ, Dalian ; Zi Ma ; Ying Hu ; Na Lin

A robot can be used to non-contact measurement with a structured-light scanner fixed to its end effector. In order to transform the 2-dimension values measured by the sensor into the 3-dimension values in the world frame, the geometric model of the system is established. A method to estimate hand-eye matrix is presented, which uses a radius-known ball, whose center is derived from the least square fitting method to enable the sensor to measure a fixed point (ball center) from different views. Thus hand-eye calibration is converted to unconstraint optimization problem. A multi-population particle swarm optimization (MPSO) is used to search hand-eye matrix, which merges the advantages of the global PSO and local PSO. Simulation and experiment show the ability of the algorithm.

Published in:

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Date of Conference:

25-27 June 2008

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