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Tracking performance of various sequences of arm motions under three levels of joint sensor noise. The algorithm was tested with 50 different randomly generated trajectories. Here we chose 800 particles to compensate the highest noise level. The best particle position and orientation error were recorded at each iteration during the tracking for all 50 trajectories.
