… networks, applied to the position control of a real manipulator robot. The neural controller
proposed in this work was applied in a real scara robot installed at the Industrial Automation …

… to develop the dynamic model of a SCARA robot with DCservomotor actuators evaluated
with Lagrangian formulation. The inverse kinematics of the robot is presented. The model is …

… controller. Summarizing, it seems that there is a lack of a detailed framework regarding
the use of new control … of industrial robot, the selective compliance assembly robot arm (SCARA), …

… , deep learning and Kalman predictive control are combined in the algorithm, and robot
RTOS is used in the hardware to achieve better visual dynamic tracking effect of SCARA robot. …

… The Adept One Robot was simulated as a three-axis … The overall performance of the control
system under different … with the existing feedback error learning control (FELC) strategy. The …

… Enlightened from the above awareness, we describe the problem of robot kinematic control
as an optimization problem, which describes obstacle avoidance as an inequality constraint. …

… its high speed, short cycle, accurate path control, and reliable flexible operation [1], [2]… control
of the SCARA robot to ensure its accuracy. Nevertheless, SCARA robot is difficult to control …

… networks, applied to a complex control problem: the force/position control of a real manipulator
robot. This work was applied in a real scara robot installed at the Laboratory of Industrial …

… adaptive tracking control scheme for a three- axis SCARA robot was developed. NNs are
not directly used to learn the system uncertainties, but they are used to adaptively learn the …

… tracking of parallel SCARA robot dedicating to fast pick-and-place operations, this work
presents the integrated control design of iterative learning algorithm, adaptive control and fuzzy …