Biped walking pattern generation using reinforcement learning

Abstract

In this research, a stable biped walking pattern is generated. The walking pattern is a simple third order polynomial. To find the proper boundary condition, the reinforcement learning algorithm is used. The final velocity of the walking pattern is chosen as learning parameter. To test the algorithm, a simulator that includes the reaction between the foot of the robot and the ground was developed. The algorithm is verified through a simulation.