This paper proposes two solutions for the inverse kinematic problem of an industrial parallel
robot: a closed analytical form and a Deep Learning approximation model based on three …

Robots are playing a very important role in industries. The main task in the robotics, is to
reach the end effector at desired position. Robots are used in every sector like hospitals …

This paper proposes a methodology for calibration of industrial robots that uses a concept of
measurement sub-regions, allowing low-cost solutions and easy implementation to meet the …

The deployable manipulator features long span and low stiffness during operation, resulting
in significant positioning errors. The conventional mechanism control model based on error …

Many small and large industries use robot arms to establish a range of tasks such as picking
and placing, and painting in today's world. However, to complete these tasks, one of the …

Study of a serial manipulator involves many non-linear functions and complex sets of
equations. The complexity of the problem increases as mobility of the system increases and …

Inertial measurement units composed of microelectromechanical systems (MEMS)
gyroscopes are widely used sensors for small spacecraft and nanosatellite attitude …

This paper proposes a new type of Multi-layered Artificial Neural Network (ANN) suitable for
motion control of multi-joint robotic mechanisms with arbitrary Degrees of Freedom (DoF) …

Este trabalho propõe uma metodologia para calibração de robôs industriais que utiliza o
conceito de medição em sub-regiões, possibilitando soluções de baixo custo e de fácil …

A área da manufatura aditiva começa gradualmente a ser entendida como uma alternativa
viável no fabrico de produtos industriais. Paralelamente a área da robótica evoluiu …