The invention relates to the technical field of
robot control, in particular to a
humanoid robot shuttlecock return
control system based on a multi-stage training model, which comprises the steps of collecting a shuttlecock flying image, extracting a skirt windward
area change rate as a
morphological gradient, entering an overturning stage when a bell-shaped curve characteristic is presented, dynamically expanding a
noise covariance matrix, and performing training. Smoothly adjusting the resistance coefficient, and outputting the ball hitting point coordinate and the
arrival time; obtaining the motor temperature of each joint in combination with the ball hitting point coordinate and calculating a thermal urgency degree index; constructing a null space projection matrix based on the Jacobian matrix, generating a thermal rejection
velocity vector, projecting the thermal rejection
velocity vector to a null space, reconstructing a
joint angle, and outputting a joint
instruction sequence; the
arrival time is used as a trigger source, the joint position ring stiffness is adjusted in a time window before ball hitting, and the speed ring damping coefficient is adjusted according to the critical damping condition; and estimating a ball hitting reaction
force vector, controlling and guiding the backward movement generated by the reaction force by using anisotropic
admittance, and linking a return action.