In this paper, an adaptive fuzzy logic based control scheme is introduced for the inverted pendulum motion and posture control problem. The adaptive control strategy consists of a Lyapunov stability-based online adaptation technique that leads to motion tracking and posture control. Unlike other control strategies, no a priori offline training, weights initialization, or parameters knowledge is required. Simulation results for different situations highlight the performance of the proposed controller in compensation for external disturbance and friction nonlinearities.