This paper presents a general methodology and accompanying formulation for planning kinematically smooth path trajectories for serial robot manipulators. Starting from an initial point on the path, it is required to traverse a path trajectory without halting the motion (typically due to switch from one inverse solution to another). The problem focuses on determining a starting configuration at ...

In order to apply the terminal sliding mode control to robot manipulators, prior knowledge of the exact upper bound of parameter uncertainties, and external disturbances is necessary. However, this bound will not be easily determined because of the complexity and unpredictability of the structure of uncertainties in the dynamics of the robot. To resolve this problem in robot control, we propose...

Based on a combination of a PD controller and a switching type two-parameter compensation force, an iterative learning controller with a projection-free adaptive algorithm is presented in this paper for repetitive control of uncertain robot manipulators. The adaptive iterative learning controller is designed without any a priori knowledge of robot parameters under certain properties on the dyna...

| This paper addresses the control problem of hydraulic robot manipulators. The backstepping design methodology is adopted to develop a novel nonlinear position tracking controller. The tracking errors are shown to be exponentially stable under the proposed control law. The controller is further augmentedwith adaptation laws to compensate for parametric uncertainties in the system dynamics. Acc...

A dual neural network is presented for the real-time joint torque optimization of kinematically redundant manipulators, which corresponds to global kinetic energy minimization of robot mechanisms. Compared to other computational strategies on inverse kinematics, the dual network is developed at the acceleration level to resolve redundancy of limited-joint-range manipulators. The dual network ha...

In digital computer based controllers, efficient sampling mechanisms for sensors as well as controllers is of great importance. In this paper, we are interested in designing controllers that result in low average frequency of control updates while simultaneously ensuring stability of the robotic system. We experimentally investigate a non-periodic state-triggered control sampling scheme (design...

At present, robotic manipulators are commonly used in manufacturing industry. In many cases, their end-effectors are required to move from one place to the other and follow some desired trajectories. This paper develops a nonlinear backstepping control design scheme with velocity observers for the trajectory tracking control of robotic manipulators. In fact, most of robot manipulator controller...