TY - GEN
T1 - Field-Deployable Disturbance Rejection in Bipedal Robots via NMPC-WBC
AU - Xiao, Feng
AU - Yu, Zhuoxuan
AU - Li, Zeru
AU - Huang, Ruining
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Bipedal robots have high flexibility and mobility and are suitable for most human work scenarios, so their anti-disturbance performance is the main challenge. This paper proposes a design scheme for a bipedal robot with a single-leg 6-degree-of-freedom, in order to reduce the influence of the leg weight on the overall center of gravity of the robot, three motors for the hip joints are centrally distributed near the center of mass, and the ankle joints adopt a parallel actuator mechanism, which increases the robot's flexibility and further reduces the inertia of the moving leg. A controller based on nonlinear model predictive control (NMPC) and sequence-optimized whole body control (WBC) is designed to simplify the robot center of mass dynamics into a convex optimization problem, which is then transcribed into a nonlinear programming (NLP) problem to solve the optimized ground reaction force, and the simulation experiments prove that the robot is able to move stably at various speeds, and at the same time, it has a strong ability to resist interference.
AB - Bipedal robots have high flexibility and mobility and are suitable for most human work scenarios, so their anti-disturbance performance is the main challenge. This paper proposes a design scheme for a bipedal robot with a single-leg 6-degree-of-freedom, in order to reduce the influence of the leg weight on the overall center of gravity of the robot, three motors for the hip joints are centrally distributed near the center of mass, and the ankle joints adopt a parallel actuator mechanism, which increases the robot's flexibility and further reduces the inertia of the moving leg. A controller based on nonlinear model predictive control (NMPC) and sequence-optimized whole body control (WBC) is designed to simplify the robot center of mass dynamics into a convex optimization problem, which is then transcribed into a nonlinear programming (NLP) problem to solve the optimized ground reaction force, and the simulation experiments prove that the robot is able to move stably at various speeds, and at the same time, it has a strong ability to resist interference.
KW - anti-interference
KW - bipedal robot
KW - center-of-mass dynamics
KW - model predictive control
KW - stability
KW - wholebody control
UR - https://www.scopus.com/pages/publications/105016781216
U2 - 10.1109/IEEECONF65522.2025.11137061
DO - 10.1109/IEEECONF65522.2025.11137061
M3 - 会议稿件
AN - SCOPUS:105016781216
T3 - Proceedings of 2025 IEEE 26th China Conference on System Simulation Technology and its Applications, CCSSTA 2025
SP - 320
EP - 325
BT - Proceedings of 2025 IEEE 26th China Conference on System Simulation Technology and its Applications, CCSSTA 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th IEEE China Conference on System Simulation Technology and its Applications, CCSSTA 2025
Y2 - 11 July 2025 through 13 July 2025
ER -