
Movement Parameters for Evaluating the Two-legged Humanoid Robot
Author(s) -
Dirja Nur Ilham,
Rudi Arif Candra,
Hardisal,
Erwinsyah Sipahutar,
Abdullah Abdullah,
Suherman Suherman,
Sharifah Shahmim Syed Othman
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1062/1/012058
Subject(s) - robot , movement (music) , humanoid robot , kalman filter , computer science , measure (data warehouse) , movement control , computer vision , artificial intelligence , simulation , acoustics , medicine , physics , database , physical medicine and rehabilitation
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.