TY - JOUR
T1 - Design and Dynamic Locomotion Control of Quadruped Robot with Perception-Less Terrain Adaptation
AU - Wang, Lei
AU - Meng, Libo
AU - Kang, Ru
AU - Liu, Botao
AU - Gu, Sai
AU - Zhang, Zhihao
AU - Meng, Fei
AU - Ming, Aiguo
N1 - Publisher Copyright:
Copyright © 2022 Lei Wang et al.
PY - 2022/1
Y1 - 2022/1
N2 - In this paper, a parallel quadrupedal robot was designed that is capable of versatile dynamic locomotion and perception-less terrain adaptation. Firstly, a quadrupedal robot with a symmetric legs and a powerful actuator was implemented for highly dynamic movement. Then, a fast and reliable method based on generalized least square was proposed for estimating the terrain parameters by fusing the body, leg, and contact information. On the basis of virtual model control (VMC) with the quadratic program (QP) method, the optimal foot force for terrain adaptation was achieved. Finally, the results obtained by simulation and indoor and outdoor experiments demonstrate that the robot can achieve a robust and versatile dynamic locomotion on uneven terrain, and the rejection of disturbances is reliable, which proves the effectiveness and robustness of this proposed method.
AB - In this paper, a parallel quadrupedal robot was designed that is capable of versatile dynamic locomotion and perception-less terrain adaptation. Firstly, a quadrupedal robot with a symmetric legs and a powerful actuator was implemented for highly dynamic movement. Then, a fast and reliable method based on generalized least square was proposed for estimating the terrain parameters by fusing the body, leg, and contact information. On the basis of virtual model control (VMC) with the quadratic program (QP) method, the optimal foot force for terrain adaptation was achieved. Finally, the results obtained by simulation and indoor and outdoor experiments demonstrate that the robot can achieve a robust and versatile dynamic locomotion on uneven terrain, and the rejection of disturbances is reliable, which proves the effectiveness and robustness of this proposed method.
UR - http://www.scopus.com/inward/record.url?scp=85132277607&partnerID=8YFLogxK
U2 - 10.34133/2022/9816495
DO - 10.34133/2022/9816495
M3 - Article
AN - SCOPUS:85132277607
SN - 2097-1087
VL - 2022
JO - Cyborg and Bionic Systems
JF - Cyborg and Bionic Systems
M1 - 9816495
ER -