Abstract
This paper presents a self-calibrated vision system for human-guided robot task-learning. The system assists robot operators in training industrial robots quickly, safely, and accurately. The system can be used in various industrial environments and requires no predetermined model of the working space. The system self-calibrates to compute the initial sensor locations and orientations. Next, the user demonstrates the tool path that is to be followed by the robot arm using a 6 DOF training medium. Finally, the system optimizes the sensor locations so that, at those locations, the sensors can provide to the operator the sufficient images for the operator to observe and perform further remote training of the robot as required.
| Original language | English |
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| Title of host publication | IEEE International Conference on Mechatronics and Automation, ICMA 2005 |
| Pages | 1288-1293 |
| Number of pages | 6 |
| Publication status | Published - 17 Nov 2005 |
| Event | IEEE International Conference on Mechatronics and Automation 2005 - Niagara Falls, Canada Duration: 29 Jul 2005 → 1 Aug 2005 https://ieeexplore.ieee.org/xpl/conhome/10831/proceeding?isnumber=34146 (Proceedings) |
Conference
| Conference | IEEE International Conference on Mechatronics and Automation 2005 |
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| Abbreviated title | ICMA 2005 |
| Country/Territory | Canada |
| City | Niagara Falls |
| Period | 29/07/05 → 1/08/05 |
| Other | 2005 International Conference on Mechatronics and Automation (ICMA) (formerly ICIMA) |
| Internet address |
Keywords
- Camera Calibration
- Camera Placement
- Robotics
- Tele-training
- Vision