Given they have more DOF than required to perform a given end-effector primary task, redundant robot manipulators can achieve subtasks such as obstacle avoidance, fault tolerance, repetitive motion planning, joint limits, and singularity avoidance. Existing optimal control methods for path planning and control of robot manipulators can be roughly categorized into two types: First, optimal control methods that can handle each robot link separately without regard to robot dynamics by computing set points for low-level (e.g., position- or velocity-level) single-input single-output controllers; Second, optimal control methods that can handle the robot directly by considering robot dynamics and computing motor torques...