What methods exist for hand–eye calibration?

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Multiple Choice

What methods exist for hand–eye calibration?

Explanation:
Finding the fixed spatial relationship between the robot’s end-effector and the camera is done by estimating a single rigid transform that links the two frames. In practice you record a sequence of robot motions and, for the same movements, observe how the camera frame changes relative to the world. Those paired motions are used to solve for the transform X in the relation A_i X = X B_i (where A_i is the robot motion and B_i is the camera motion between poses). Using multiple motion pairs provides enough information to determine X accurately. Classical methods like Tsai–Lenz give a closed-form solution, while dual-quaternion approaches offer an efficient and robust way to handle rotations and translations together; some formulations explicitly include Daniilidis’s dual-quaternion approach as another effective path. This is why the described approach is correct: it uses known robot poses and camera observations to compute the fixed hand–eye transform. Manual alignment alone lacks the data redundancy needed for a reliable 6-DoF calibration. Relying only on magnetometers doesn’t capture the full spatial relationship between the camera and the robot, and hand–eye calibration is indeed possible and routinely performed in practice.

Finding the fixed spatial relationship between the robot’s end-effector and the camera is done by estimating a single rigid transform that links the two frames. In practice you record a sequence of robot motions and, for the same movements, observe how the camera frame changes relative to the world. Those paired motions are used to solve for the transform X in the relation A_i X = X B_i (where A_i is the robot motion and B_i is the camera motion between poses). Using multiple motion pairs provides enough information to determine X accurately. Classical methods like Tsai–Lenz give a closed-form solution, while dual-quaternion approaches offer an efficient and robust way to handle rotations and translations together; some formulations explicitly include Daniilidis’s dual-quaternion approach as another effective path. This is why the described approach is correct: it uses known robot poses and camera observations to compute the fixed hand–eye transform.

Manual alignment alone lacks the data redundancy needed for a reliable 6-DoF calibration. Relying only on magnetometers doesn’t capture the full spatial relationship between the camera and the robot, and hand–eye calibration is indeed possible and routinely performed in practice.

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