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Calibration of parallel robots by evolutionary algorithm

  • Part V: Robotics, Adaptive Autonomous Agents, and Control
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Artificial Neural Networks — ICANN'97 (ICANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1327))

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Abstract

The work describes parallel robot calibration procedure by evolutionary algorithm (EA). The algorithm uses nature-inspired features such as genetic information exchange, mutation, survival of the fittest, leap into the unknown and others. Special test function with two minimums peculiar to the calibration problem is used for the EA parameters assessment. The calibration procedure by EA is powerful instrument for improving of the parallel robot accuracy. They are more perspective and more reliable for the robot parameters identification in comparison with known gradient methods.

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References

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Wulfram Gerstner Alain Germond Martin Hasler Jean-Daniel Nicoud

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© 1997 Springer-Verlag Berlin Heidelberg

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Kokcharov, I. (1997). Calibration of parallel robots by evolutionary algorithm. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020257

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  • DOI: https://doi.org/10.1007/BFb0020257

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63631-1

  • Online ISBN: 978-3-540-69620-9

  • eBook Packages: Springer Book Archive

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