The digital prototyping design of electromagnetic unmanned robot applied to automotive test
(URAT) is presented in this paper. The electromagnetic URAT adopts electromagnetic linear …

In general, indirect force control schemes (stiffness, impedance, etc.) assume that robot
actuators can provide any torque value to achieve the goal of interaction control. This study …

Accurate dynamic parameters are essential for precise control of model-based manipulators.
Due to the direct connection between the joint axis and the motor rotor of the direct drive …

Collaborative dynamics modeling of flexible multibody and rigid multibody for an
electromagnetic direct-drive vehicle robot driver is proposed in the article. First, spatial …

This paper presents a novel methodology to identify the dynamic parameters of a real robot
with a convolutional neural network (CNN). Conventional identification methodologies use …

In this paper, the regulation problem for robot manipulators in joint space through the
proposal of a new family of bounded regulators with variable gains is presented. The …

The article presents an application of neural network to an electromagnetic direct drive
vehicle robot driver. To achieve the accuracy and adaptability of speed control for driving …

Purpose–The purpose of this paper is to present a prototype simulation system for driving
performance of an electromagnetic unmanned robot applied to automotive test (URAT) to …

This paper addresses the explicit force regulation problem for robot manipulators in
interaction tasks. A new family of explicit force‐control schemes is presented, which includes …

Aborda el problema de identificación paramétrica de robots manipuladores, aplicando la
mecánica analítica de Euler, utilizando las ecuaciones de Euler-Lagrange para modelar el …