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Add an auto-camera calibration script (#48)
* [WIP] Adding auto camera calib procedure * [WIP] Adding camera calibration script * [WIP] added cartesian motion, need to add charucoboard code * [WIP] almost done, need to test in-person * Mostly working but for error computation * Fixed bug in calculating transformation error * Change default calib to autocalib * [WIP] moved to separate package, yet to test * Finalized TODOs * Changes from final testing * Reject calibrations that are too far from the manual reference * Make teh hardcoded path consistent with lovelace * Fix off-center issue (#49) Co-authored-by: Ethan K. Gordon <[email protected]> * Update forque centering given updated URDF * Small updates to camera calibration scripts --------- Co-authored-by: Amal Nanavati <[email protected]> Co-authored-by: Ethan K. Gordon <[email protected]>
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# ada_camera_calibration | ||
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This file contains a nodes to do the following: | ||
1. Calibrate ADA's eye-in-hand system's extrinsics (run every time the eye-in-hand system changes); | ||
2. Publish the transform between ADA's end-effector and the camera (run every time the robot is used with perception). | ||
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## Calibrating the Camera's Extrinsics | ||
1. Be in the `src` directory of your workspace. | ||
2. `python3 src/ada_ros2/ada_calibrate_camera/calibrate_camera_start.py` | ||
3. `screen -r calibrate` | ||
1. (See here for relevant [`screen`` commands](https://gist.github.com/jctosta/af918e1618682638aa82)) | ||
4. Follow the instructions on-screen. (Motions are expected to take ~6 mins and collect up to 30 samples) | ||
5. Once it is done, verify it: | ||
1. Re-build your workspace. | ||
2. Run `ros2 launch ada_moveit demo.launch.py sim:=mock` | ||
3. In RVIZ, add an axis for `camera_color_optical_frame` | ||
4. Verify it looks like the frame is correct. | ||
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## Publishing the Transform | ||
1. `ros2 launch ada_calibrate_camera publish_camera_extrinsics_launch.xml` (this is done by default in the `ada_moveit` launchfile). |
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