Math & Kinematics
Dual Quaternion
Dual Quaternion is an eight-parameter algebraic representation of rigid-body transformations, formed as a quaternion with dual-number coefficients, encoding rotation and translation in a single object. Unit dual quaternions compose transformations by multiplication, interpolate smoothly along screw motions, and avoid the singularities of Euler angles. They are used in kinematic modeling, hand-eye calibration, pose-graph optimization, and skinning in graphics.
Why it matters for physical AI
Compact, singularity-free pose algebra matters wherever transforms are estimated or interpolated, from calibration routines to pose regression targets in learned perception, where representation choice measurably affects accuracy.
Build physical AI
Put these concepts to work on real hardware
Axol is a dual-arm robot built for physical AI — teleoperate it, collect demonstrations, and deploy learned policies out of the box.