This paper proposes an online Neural Network self-tuned Inverse Dynamic Controller (IDC)
for high-speed and smooth trajectory tracking control of a 3-DoF Delta robot. The foregoing …

This paper presents an inverse kinematic controller using neural networks for trajectory
controlling of a delta robot in real-time. The developed control scheme is purely data-driven …

The Delta robot is a parallel robot that is over-actuated and has a highly nonlinear dynamic
model, which poses a significant challenge to its control design. The inverse kinematics that …

Sub-millimeter scale devices are developing rapidly taking smaller, smarter, and more
precise forms. This is achieved thanks to advancements in micro-manufacturing tools and …

In this work we propose a new technique to manipulate a robotic arm which uses a depth
camera to capture the user input and inverse kinematics to define the motion of the robotic …

This research presents an optimal trajectory tracking control method for improving the
accuracy of 3-DOF translational parallel robots in the surgery field based on the Particle …

This paper presents an inverse dynamic model estimation based on an artificial neural
network of a complete new parallel robot manipulator prototype 6-PGK with six degrees of …

One of the main requirements for motion control systems is their robustness. There are
several previously introduced control methods possessing the aforementioned requirement …

Accuracy analysis of parallel manipulators is the first step in selecting an appropriate error
model for further design. In this paper, the kinematic accuracy of a Delta parallel manipulator …

This work presents a modular and reconfigurable desktop microfactory for high precision
machining and assembly of micro mechanical parts. Miniature factory is inspired by the …