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Movement Parameters for Evaluating the Two-legged Humanoid Robot

Many robot prototypes have been made and control algorithms have been proposed. The performances are measured through experiments. This paper presents a two-legged robot prototype with and without Kalman filter in processing sensor data and proposes some movement evaluation parameters to measure the robot performances. Experiments show that the evaluated performances are able to differentiate method achievements. Movement parameters: movement angle, distance travelled, and failed frequency have been successfully identified robot performances.