This paper proposes a robust algorithm for continuous-time direct adaptive control of robot manipulators based on the Lyapunov direct method. In this scheme, if the errors are greater than prespecified error boundary, the feedback gains are adjusted adaptively such that predetermined tracking error precision is achieved under the bounded disturbances. If there exist no disturbances, proposed algorithm guarantees global convergence of the overall system and zero tracking error.