Journal of the Korean Society of Industry Convergence (한국산업융합학회 논문집)

The Korean Society of Industry Convergence (한국산업융합학회)
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The Gripping Force Control of Robot Manipulator Using the Repeated Learning Function Techniques

반복 학습기능을 이용한 로봇 매니퓰레이터의 파지력제어

  • Received : 2015.01.20
  • Accepted : 2015.02.11
  • Published : 2015.02.28
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Abstract

In this paper, the repeated learning technique of neural network was used for gripping force control algorithm. The hybrid control system was introduced and the manipulator's finger reorganized form 2 ea to 3 ea for comfortable gripping. The data was obtained using the gripping force of repeated learning techniques. In the fucture, the adjustable gripping force will be obtained and improved the accuracy using the artificial intelligence techniques.

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References

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