Kim, Jihun Yang, Jaeha Yang, Seung Tae Oh, Yonghwan Lee, Giuk 2024-01-19T16:32:08Z 2024-01-19T16:32:08Z 2021-09-02 2020-10 2076-3417 https://pubs.kist.re.kr/handle/201004/118041 Although previous research has improved the energy efficiency of humanoid robots to increase mobility, no study has considered the offset between hip joints to this end. Here, we optimized the offsets of hip joints in humanoid robots via the Taguchi method to maximize energy efficiency. During optimization, the offsets between hip joints were selected as control factors, and the sum of the root-mean-square power consumption from three actuated hip joints was set as the objective function. We analyzed the power consumption of a humanoid robot model implemented in physics simulation software. As the Taguchi method was originally devised for robust optimization, we selected turning, forward, backward, and sideways walking motions as noise factors. Through two optimization stages, we obtained near-optimal results for the humanoid hip joint offsets. We validated the results by comparing the root-mean-square (RMS) power consumption of the original and optimized humanoid models, finding that the RMS power consumption was reduced by more than 25% in the target motions. We explored the reason for the reduction of power consumption through bio-inspired analysis from human gait mechanics. As the distance between the left and right hip joints in the frontal plane became narrower, the amplitude of the sway motion of the upper body was reduced. We found that the reduced sway motion of the upper body of the optimized joint configuration was effective in improving energy efficiency, similar to the influence of the pathway of the body's center of gravity (COG) on human walking efficiency. English MDPI OPTIMAL-DESIGN Energy-Efficient Hip Joint Offsets in Humanoid Robot via Taguchi Method and Bio-inspired Analysis Article 10.3390/app10207287 1 APPLIED SCIENCES-BASEL, v.10, no.20 APPLIED SCIENCES-BASEL 10 20 scie scopus 000585300900001 2-s2.0-85092783723 Chemistry, Multidisciplinary Engineering, Multidisciplinary Materials Science, Multidisciplinary Physics, Applied Chemistry Engineering Materials Science Physics Article OPTIMAL-DESIGN humanoid robot energy efficiency Taguchi method