Dual orthogonal matrices in manipulator kinematics
International Journal of Robotics Research
Finding the position and orientation of a sensor on a robot manipulator using quaternions
International Journal of Robotics Research
Motor Algebra for 3D Kinematics: The Case of the Hand-Eye Calibration
Journal of Mathematical Imaging and Vision
New algebraic tools for classical geometry
Geometric computing with Clifford algebras
Tracking People with Twists and Exponential Maps
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
A comparative study of three methods for robot kinematics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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In this paper, the authors use the conformal geometric algebra in robotics. This paper computes the inverse kinematics of a robot arm and the differential kinematics of a pan–tilt unit using a language of spheres showing how we can simplify the complexity of the computations. This work introduces a new geometric Jacobian in terms of bivectors, which is by far more effective in its representation as the standard Jacobian because its derivation is done in terms of the projections of the involved points onto the line axes. Furthermore, unlike the standard formulation, our Jacobian can be used for any kind of robot joints. In this framework, we deal with various tasks of three-dimensional (3D) object manipulation, which is assisted by stereo-vision. All these computations are carried out using real images captured by a robot binocular head, and the manipulation is done by a five degree of freedom (DOF) robot arm mounted on a mobile robot. In addition to this, we show a very interesting application of the geometric Jacobian for differential control of the binocular head. We strongly believe that the framework of conformal geometric algebra can generally be of great advantage for visually guided robotics.