Research on Gait Stability of Dance Robot Based on Improved Genetic Algorithm
To further improve the gait stability of dance robots,a robot gait optimization algorithm based on an improved genetic algorithm is proposed.Among them,the gait parameter optimization method based on genetic algorithm is further improved to enhance its optimization ability and thus enhance the overall gait optimization effect.The experimental simulation results show that compared with traditional genetic algorithms,the improved genetic algorithm has stronger ability to search for optimal solutions;Compared with dance robots that have not undergone gait optimization,dance robots based on improved genetic algorithms have a more stable zero moment point ZMP curve,indicating that the robot's vibration is smaller during walking.However,in actual walking tests,dance ro-bots that have undergone gait optimization have good stability,solving the problem of poor robot posture.In summary,the robot gait optimization algorithm based on improved genetic algorithm has a good optimization effect and can be applied to practical scenarios to improve the stability of dance robots,with high feasibility.three
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维普
