This paper presents a method for sensory fusion of magneto-inertial data for estimation of joint angles of serial kinematic chain with rotational degrees-of-freedom. Method is named Magneto-Inertial tracking based on JAcobian PseudoInverse (MIJAPI). Method incorporates a kinematic model of the mechanism and the estimation relies on the inverse kinematics solution based on the Jacobian inverse utilizing the Moore-Penrose weighted left pseudoinverse of the mechanism. Jacobian matrix is used to solve an overdetermined system in a least squares approach due to available redundant measurements resulting from constraints related to attachments of magneto-inertial sensors and kinematic model.
Magneto-Inertial Data Sensory Fusion Based on Jacobian Weighted-Left-Pseudoinverse
Springer Proceedings in Advanced Robotics
International Symposium on Advances in Robot Kinematics ; 2020 ; Ljubljana, Slovenia December 06, 2020 - December 10, 2020
2020-07-18
8 pages
Article/Chapter (Book)
Electronic Resource
English