Abstract
In industrial application, robots do the operations that have predefined location taught by teaching pendant. Recently, sensors including camera and laser range finder are used together with robot to expand the capabilities of the robot. Hand/eye calibration is the first necessary step to transform sensor based measurements into the robot coordinate system. Traditional hand/eye calibration algorithm used known robot motions. Kinect is used as the 3D sensor and chessboard markers are attached on the robot's arm. In this paper, we solve hand/eye calibration using 3D-3D correspondences.
| Original language | English |
|---|---|
| Title of host publication | Chemical, Mechanical and Materials Engineering II |
| Pages | 532-535 |
| Number of pages | 4 |
| DOIs | |
| State | Published - 2013 |
| Event | 2013 2nd International Conference on Chemical, Mechanical and Materials Engineering, CMME 2013 - Melbourne, VIC, Australia Duration: 20 Jan 2013 → 21 Jan 2013 |
Publication series
| Name | Applied Mechanics and Materials |
|---|---|
| Volume | 319 |
| ISSN (Print) | 1660-9336 |
| ISSN (Electronic) | 1662-7482 |
Conference
| Conference | 2013 2nd International Conference on Chemical, Mechanical and Materials Engineering, CMME 2013 |
|---|---|
| Country/Territory | Australia |
| City | Melbourne, VIC |
| Period | 20/01/13 → 21/01/13 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Hand/eye calibration
- Manipulation
- Robot arm
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