Abstract
A technique for robot motion simulation is proposed with imaged-based view synthesis. Eigen space method is used to acquire compact representations of the images. A wavelet neural network is utilized to map joint positions into the compact representations. The trajectory in the joint space is first planned to generate a joint sequence, and the image sequence of the robot motion is synthesized directly from reference images. No calibration is needed. The experiment results are demonstrated.
| Original language | English |
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| Pages | 873-877 |
| Number of pages | 5 |
| Publication status | Published - 2002 |
| Externally published | Yes |
| Event | 2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States Duration: 12 May 2002 → 17 May 2002 |
Conference
| Conference | 2002 International Joint Conference on Neural Networks (IJCNN '02) |
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| Country/Territory | United States |
| City | Honolulu, HI |
| Period | 12/05/02 → 17/05/02 |