Humanoid biped robot walking posture control method based on genetic algorithm
A biped robot and genetic algorithm technology, which is applied in the field of walking posture control of humanoid biped robots based on genetic algorithms, can solve the problems of large amount of calculation and low efficiency in the inverse operation of pose matrix, so as to enhance real-time performance and avoid complexity , to avoid the effect of solving a large amount of computation
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[0068] The walking posture control method of the humanoid biped robot based on the genetic algorithm of the present embodiment comprises the following steps:
[0069] S1: Input the specific parameters of the robot body with 17 degrees of freedom: 330mm, robot width: 180mm, minimum support area of both feet: 93mm×45mm and robot leg length: 185mm.
[0070] S2: First, according to the robot's shape and motion state, as well as the specific parameters of the robot body input in the above steps, we set: walking cycle T, pace V, height H, arm swing R, body center up and down swing C, The range of the six key parameters of the swing A around the center of the body: V ∈ [0, 20]; H ∈ [200, 500]; T ∈ [0, 10]; C ∈ [0, 50]; A ∈ [ 0, 40]; R ∈ [0, 90]; and the anthropomorphic gait planning of the humanoid biped robot is as follows:
[0071] The x-coordinate of the body center: Vt;
[0072] The y coordinate of the body center: Asin(πt / T);
[0073] The z coordinate of the body center: H-...
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