The invention discloses a
robot swing arm
trajectory optimization method based on
dynamic planning, which comprises the following steps: S1, constructing a central mode generator model, and generating a rhythmic swing arm trajectory; s2, acquiring posture state data of the
humanoid robot in a running process; s3, converting the rhythmic swing arm track and attitude state data into attitude disturbance input vectors; s4, evaluating a track
stability index, and judging whether the track
stability index exceeds a deviation threshold value or not; s5, when a threshold value is deviated, an
energy control period
orbit adjustment
algorithm is called to generate an
orbit correction candidate parameter; s6, constructing a
dynamic planning model by taking attitude disturbance input as a
state variable, and searching and outputting an
optimal trajectory correction parameter; and S7, the correction parameters are fed back to the central mode generator, and the swing arm track of the next period is generated. According to the invention, through disturbance modeling and track
feedback regulation and control, stability optimization and dynamic
adaptive control of swing arm motion are realized.