Contents
| Lecture 1: Introduction to Visual Servoing | |
| 1.1.- Introduction | |
| 1.2.-Visual Servoing schemes | |
| 1.3.-Homogeneous transformations | |
| 1.4.-Rigid body motion | |
| 1.5.-Computer vision fundamental | |
| 1.6.-Dynamic and kinematic control of robots | |
| 1.7.-Sensor-based control: Task Function Approach | |
| 1.8.-Overview in Visual Servoing and Applications | |
| Lecture 2: Modelling in Visual Servoing | |
| 2.1.-2D visual features | |
| 2.2.-Path planning in the image | |
| 2.3.-3D Features | |
| 2.4.-Omni-directional vision | |
| 2.5.-Coupling vision and structured light | |
| Lecture 3: Classical approaches | |
| 3.1.-Image based visual servoing | |
| 3.2.-Position based visual servoing | |
| Lecture 4: Hybrid approaches | |
| 4.1.-2 ½D | |
| 4.2.-Partitioned approach to 2D visual servoing | |
| 4.3.-Switching approach | |
| 4.4.-E2D visual servoing | |
| Lecture 5: Advanced approaches to vision-based control | |
| 5.1.-Intrinsic-free visual servoing | |
| 5.2.-Visual servoing using efficient second-order minimization | |
| 5.3.-Tasks sequencing for visual servoing | |
| Lecture 6: Dynamic visual servoing |
| Lecture 7: Robustness | |
| 7.1.-Introduction to robustness issue in visual servoing | |
| 7.2.-Visibility constraint | |
| 7.3.-Image Outliers | |
| 7.3.-Real features integration for Visual Servoing | |
| Lecture 8: Applications |
