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. Author manuscript; available in PMC: 2021 Apr 1.
Published in final edited form as: IEEE Robot Autom Lett. 2020 Feb 10;5(2):2642–2649. doi: 10.1109/lra.2020.2972880

Fig. 1.

Fig. 1.

Iterative disturbance estimation algorithm. [A] Block diagram illustrating the iterative update of the disturbance based on inclinometer data. The initial value for wd(i) is obtained after initial calibration. [B] The compliance matrix Swd is used to minimize the orientation error between current estimated orientation R(i) and the measured value from the sensors Rm.