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Analysis of the Acceleration Characteristics of Manipulators

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Theory and Practice of Robots and Manipulators

Part of the book series: International Centre for Mechanical Sciences ((CISM,volume 361))

Abstract

The study of the acceleration properties at the end effector is important in the analysis, design, and control of robot manipulators. In previous efforts aimed at addressing this problem, the end-effector acceleration has been treated as a vector combining both the linear and angular accelerations. The methodology presented in this article provides characterizations of these two different types of accelerations and describes the relationship between them. This work is an extension of our previous studies on manipulator inertial and acceleration properties. The treatment relies on the ellipsoid expansion model, a simple geometric approach to efficiently analyze end-effector accelerations. Results of the application of this analysis to the PUMA 560 manipulator are discussed.

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References

  1. Yoshikawa T.; Dynamic Manipulability of Robot Manipulators, Proc. 1985 IEEE International Conference on Robotics and Automation, St. Louis, 1985, pp. 1033–1038.

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  2. Khatib, O. and Burdick, J.; Dynamic Optimization in Manipulator Design: The Operational Space Formulation, The International Journal of Robotics and Automation, vol. 2, no. 2, 1987, pp. 90–98.

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  3. Armstrong, B., Khatib, O., and Burdick, J.; The Explicit Model and Inertial Parameters of the PUMA 560 Arm, Proceedings IEEE Intl. Conference on Robotics and Automation, vol. 1, pp. 510–518, 1986.

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© 1995 Springer-Verlag Wien

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Bowling, A., Khatib, O. (1995). Analysis of the Acceleration Characteristics of Manipulators. In: Morecki, A., Bianchi, G., Jaworek, K. (eds) Theory and Practice of Robots and Manipulators. International Centre for Mechanical Sciences, vol 361. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2698-1_6

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  • DOI: https://doi.org/10.1007/978-3-7091-2698-1_6

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-82697-3

  • Online ISBN: 978-3-7091-2698-1

  • eBook Packages: Springer Book Archive

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