Development of a MATLAB Toolbox for Robot Sensor Interface (RSI) Communication with KUKA KR6 R900 SIXX and Validation by Inverse Kinematics Approach
Enad Obeedat, Rolf Biesenbach, Mohammed Baniyounis, Jan Falkenhain
- Year
- 2024
- Citations
- 2
Abstract
This paper discusses the development of a MATLAB toolbox for Robot Sensor Interface (RSI) communication with KUKA KR6 R900 SIXX then to validate the received joint values through RSI by mathematically calculating the joint values using Denavit-Hartenberg (DH) convention, transformation matrices and Euler angles approaches. Using this toolbox, it was possible to control different models of manipulators by changing their DH parameters in the MATLAB program and to control simultaneous robots by changing their IP addresses in the MATLAB program instead of broadcasting the control messages to all addresses in the network segment range. It was possible to control different models of manipulators by changing their DH parameters in the MATLAB program and to control simultaneous robots by changing their IP addresses in the MATLAB program instead of broadcasting the control messages to all addresses in the network segment range.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002