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Stochastic Trajectory Planning for Manutec r3 with Random Payload

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Stochastic Programming Methods and Technical Applications

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 458))

Abstract

Optimal trajectory planning for robots is a basic tool for improving manufacturing processes.

Supported by DFG-Schwerpunktprogramm “Echtzeit-Optimierung großer Systeme“.

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References

  1. Fu, K.S. and Gonzalez, R.C.: Robotics, Control, Sensing, Vision and Intelligence, McGraw-Hill, New York, 1987

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  2. Marti, K. and Qu, S.: Optimal Trajectory Planning for Robot Considering Stochastic Parameters and Disturbances -Computation of an Efficient Open-Loop Strategy, J. Intelligent and Robotic Systems, Vol. 15, pp. 19–23, 1996

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  3. Pfeiffer, F. and Johaimi, R.: A Concept for Manipulator Trajectory Planning, IEEE J. Robot. Automat. RA-3(3), pp 115–123, 1987

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  4. Qu, S.: Optimale Bahnplanung unter Beruecksichtigung stochastischer Parameterschwankungen, VDI-Verlag, Duesseldorf, 1995

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  5. Tuerk, M.: Zur Modellierung der Dynamik von Robotern mit rotatorischen Gelenken, VDI-Verlag, Duesseldorf, 1990

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Author information

Authors and Affiliations

  1. Institute of Mathematics and Computer Science, Federal Armed Forces University Munich, 85577, Neubiberg/Munich, Germany

    Shihong Qu

Authors
  1. Shihong Qu
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Editor information

Editors and Affiliations

  1. Fakultät für Luft- und Raumfahrttechnik, Universität der Bundeswehr München, D-85577, Neubiberg/München, Germany

    Kurt Marti

  2. Institut für Operations Research, Universität Zürich, Moussonstraße 15, CH-8044, Zürich, Switzerland

    Peter Kall

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© 1998 Springer-Verlag Berlin Heidelberg

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Qu, S. (1998). Stochastic Trajectory Planning for Manutec r3 with Random Payload. In: Marti, K., Kall, P. (eds) Stochastic Programming Methods and Technical Applications. Lecture Notes in Economics and Mathematical Systems, vol 458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45767-8_24

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  • DOI: https://doi.org/10.1007/978-3-642-45767-8_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63924-4

  • Online ISBN: 978-3-642-45767-8

  • eBook Packages: Springer Book Archive

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