easy_handeye

Integrates with MoveIt! to automatically generate and execute pose sequences for sampling, reducing manual effort and ensuring consistent data collection, as highlighted in the robot movement integration feature.

Offers a choice of OpenCV hand-eye calibration algorithms (Tsai-Lenz, Park, Horaud, etc.), allowing users to optimize for different scenarios, as noted in the multiple algorithms section.

Provides rqt_easy_handeye for interactive sample management, calibration computation, and accuracy evaluation, making the process user-friendly and accessible, as described in the GUI and evaluator features.

Works with any robot and tracking system that publish tf frames, ensuring broad compatibility without hardware-specific modifications, per the hardware independence philosophy.