Aligning micro-gripper to ring object in high precision with microscope vision

In this paper, a platform based on microscope vision is established to align and grip a ring object. An effective alignment algorithm is proposed based on a microscope vision system in order to realize the gripping in high precision. The multiple features of the micro-gripper in the image such as th...

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Bibliographic Details
Published in:2011 IEEE International Conference on Computer Science and Automation Engineering Vol. 3; pp. 123 - 127
Main Authors: Juan Zhang, Zhengtao Zhang, De Xu, Wensheng Zhang
Format: Conference Proceeding
Language:English
Published: IEEE 01.06.2011
Subjects:
alignment
camera regulation
Cameras
ellipse fitting
Feature extraction
Fitting
Grippers
gripping
Image edge detection
line fitting
microscope vision
Microscopy
Noise
visual control
ISBN:9781424487271, 1424487277
Online Access:Get full text
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Summary:In this paper, a platform based on microscope vision is established to align and grip a ring object. An effective alignment algorithm is proposed based on a microscope vision system in order to realize the gripping in high precision. The multiple features of the micro-gripper in the image such as the edge length and the circle center are detected to regulate the microscope vision system. The desired position and orientation of the ring object is determined according to the features of the micro-gripper in the image captured by the horizontal camera. The ring object's pose is adjusted to the desired pose above. Once the ring object's pose coincides with the micro-gripper's pose, the micro-gripper is moved to the ring object under the visual guidance of the vertical camera and grips it. Experimental results demonstrate the effectiveness of the alignment algorithm.
ISBN:9781424487271
1424487277
DOI:10.1109/CSAE.2011.5952648