| name | Computer Vision Skill |
| description | Specialized skill for robot vision including feature detection, tracking, and camera calibration |
| slug | computer-vision |
| category | Perception |
| allowed-tools | ["Bash","Read","Write","Edit","Glob","Grep"] |
| graph | {"domains":["domain:robotics"],"specializations":["specialization:robotics-simulation"],"skillAreas":["skill-area:motion-planning","skill-area:sensor-fusion"],"roles":["role:research-engineer"]} |
Computer Vision Skill
Overview
Expert skill for robot vision applications including camera calibration, feature detection and tracking, stereo vision, and visual servoing.
Capabilities
- Implement camera intrinsic calibration (pinhole, fisheye)
- Configure stereo camera calibration and rectification
- Set up camera-LiDAR extrinsic calibration
- Implement feature detection (ORB, SIFT, SURF, SuperPoint)
- Configure optical flow tracking (Lucas-Kanade, Farneback)
- Implement depth estimation from stereo
- Set up visual servoing pipelines
- Configure image undistortion and rectification
- Implement ArUco/AprilTag marker detection
- Set up hand-eye calibration
Target Processes
- robot-calibration.js
- visual-slam-implementation.js
- object-detection-pipeline.js
- digital-twin-development.js
Dependencies
- OpenCV
- cv_bridge
- image_geometry
- camera_calibration
Usage Context
This skill is invoked when processes require camera calibration, feature detection, visual tracking, or image processing for robot vision applications.
Output Artifacts
- Camera calibration files (YAML)
- Stereo calibration parameters
- Feature detection configurations
- Visual servoing controllers
- Image processing pipelines
- Marker detection configurations