A robot posture control method using a neural network, a recording medium thereof, a robot posture control apparatus using a neural network, and a robot having the apparatus are provided to allow the robot to stably walk even under a new environment or when a mechanical error exists. A robot posture control method using a neural network includes a step(1610) of measuring a balancing point by using the pressure applied to a pressure sensor during operation of a robot performed in accordance with a predetermined walking pattern value; a step(1620) of creating a balancing point error from the difference between the measured balance point and a pre-stored balancing point, and outputting the balancing point error to a predetermined neural network; a step(1630) of creating a joint angle adjustment value by assigning weight values of the neurons contained in the neural network to the balancing point error; a step(1640) of operating an actuator in accordance with the control signal obtained by summing the joint value adjustment value and the walking pattern value; and a step(1650) of varying the weight values by performing a back propagation algorithm in accordance with the balancing point error created during operation of the actuator.
METHOD FOR CONTROLLING POSE OF ROBOT WITH USING NEURAL NETWORK, RECORDING MEDIUM THEREOF, APPARATUS FOR CONTROLLING POSE OF ROBOT WITH USING NEURON-NETWORK AND ROBOT THEREWITH