3RD PASSIVE JOINT POSITION ANGLE VALIDATIONON 3R UNDER-ACTUATED ROBOT ARM

Authors

  • S. C. Abdullah Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor Darul Ehsan, Malaysia
  • M. A. Fikri Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor Darul Ehsan, Malaysia
  • C. Y. Low Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor Darul Ehsan, Malaysia

DOI:

https://doi.org/10.11113/jt.v76.5493

Keywords:

Real-time, passive joint, under-actuated robot

Abstract

Position angle analysis by learning algorithm on robotics is extremely important as a tool for predictive maintenance to detect faults and mechanical problems. This paper presents position angle analysis on passive joint using three rotations (3R) under-actuated robot manipulator. Experiment was conducted to predict the position angle which were applied to three joint; Active 1, Active 2 and Passive respectively. Experiment by SIMULINK software was carried out to validate the value of position angle obtained during real-time experiment. As a conclusion, the 3rd position angle of passive joint followed the position angle for Active 1 and Active 2.

References

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Hasan, A. T., Hamouda, A. M. S., Ismail, N., and Al-Assadi, H. M. A. A. 2006. An Adaptive Learning Algorithm to Solve the Inverse Kinematics Problem of A 6 D.O.F Serial Robot Manipulator. Journal of Advances in Engineering Software. 37(7): 432-438.

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Published

2015-09-13

How to Cite

3RD PASSIVE JOINT POSITION ANGLE VALIDATIONON 3R UNDER-ACTUATED ROBOT ARM. (2015). Jurnal Teknologi (Sciences & Engineering), 76(4). https://doi.org/10.11113/jt.v76.5493