2016International Symposium Innovative Technologies Engineering and ScienceRequires access

In a research on how to use inverse kinematics solution of actual intelligent optimization method

Serkan Dereli

Open publisher page 3 citations

Abstract

The kinematics that handles issue of motion and one of the most important parts of the control process of robot manipulator divided into inverse and forward kinematics. While the forward kinematics is determined the position of the end effector using variables of joint, the inverse kinematics is obtained value of joint variables from end effector. Although the forward kinematics is relatively easier than the inverse kinematic solution, the inverse kinematics is much more difficult and complex. In particular, the increasing number of joints of the robot is more difficult this solution. Today, intelligent optimization algorithms are frequently encountered in a solution to the inverse kinematics that is described as both difficult and also non-lineer problem. This paper explains that intelligent optimization methods used in inverse kinematics solution. Thus, researchers who are interested in this field will have a thorough investigation.

About this research paper

What this paper is about

The kinematics that handles issue of motion and one of the most important parts of the control process of robot manipulator divided into inverse and forward kinematics. While the forward kinematics is determined the position of the end effector using variables of joint, the inverse kinematics is obtained value of joint variables from end effector. Although the forward kinematics is relatively easier than the inverse kinematic solution, the inverse kinematics is much more difficult and complex. In particular, the increasing number of joints of the robot is more difficult this solution. Today, intelligent optimization algorithms are frequently encountered in a solution to the inverse kinematics that is described as both difficult and also non-lineer problem. This paper explains that intelligent optimization methods used in inverse kinematics solution. Thus, researchers who are interested in this field will have a thorough investigation.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The kinematics that handles issue of motion and one of the most important parts of the control process of robot manipulator divided into inverse and forward kinematics. While the forward kinematics is determined the position of the end effector using variables of joint, the inverse kinematics is obtained value of joint variables from end effector. Although the forward kinematics is relatively easier than the inverse kinematic solution, the inverse kinematics is much more difficult and complex. In particular, the increasing number of joints of the robot is more difficult this solution. Today, intelligent optimization algorithms are frequently encountered in a solution to the inverse kinematics that is described as both difficult and also non-lineer problem. This paper explains that intelligent optimization methods used in inverse kinematics solution. Thus, researchers who are interested in this field will have a thorough investigation.

Key concepts: Inverse kinematics, Kinematics, Kinematics equations, Robot kinematics, Robot end effector, Forward kinematics, Computer science, Inverse

Related papers

Back to paper searchBrowse research topicsOriginal source
In a research on how to use inverse kinematics solution of actual intelligent optimization method — Research Paper | ScholarLens