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Aerial Manipulator Dynamics

  • Matko Orsag
  • Christopher Korpela
  • Paul Oh
  • Stjepan Bogdan
Chapter
Part of the Advances in Industrial Control book series (AIC)

Abstract

In order for us to be able to control the end-effector of a robotic manipulator, first we need to understand and mathematically model its dynamics. There are two approaches mainly used to model manipulator dynamics: Lagrange–Euler and Newton–Euler.

References

  1. 1.
    Allen PK, Miller AT, Oh PY (1997) Using tactile and visual sensing with a robotic hand. In: 1997 IEEE International Conference on Robotics and Automation, 1997, Proceedings, vol 1, pp 676–681Google Scholar
  2. 2.
    Baraff D (1994) Fast contact force computation for nonpenetrating rigid bodies. In: Proceedings of the 21st annual conference on Computer graphics and interactive techniques, pp 23–34. ACMGoogle Scholar
  3. 3.
    D Young H, A Freedman R (2000) University Physics with modern physics. Addison Wesley Longman, IncGoogle Scholar
  4. 4.
    Kane TR, Levinson DA (1985) Dynamics, theory and applications. McGraw HillGoogle Scholar
  5. 5.
    Marion JB (2013). Classical dynamics of particles and systems. Academic PressGoogle Scholar
  6. 6.
    Mayton B, LeGrand L, Smith JR (2010) Robot, feed thyself: plugging in to unmodified electrical outlets by sensing emitted AC electric fields. In: 2010 IEEE international conference on robotics and automation (ICRA), pp 715–722. IEEEGoogle Scholar
  7. 7.
    Michelman P, Allen P (1994) Forming complex dextrous manipulations from task primitives. In: 1994 IEEE international conference on robotics and automation, 1994, proceedings, pp 3383–3388, vol 4Google Scholar
  8. 8.
    Mirtich B (1998) Rigid body contact: collision detection to force computation. In: IEEE international conference on robotics and automationGoogle Scholar
  9. 9.
    Orsag M, Korpela C, Bogdan S, Paul O (2014) Hybrid adaptive control for aerial manipulation. J Intell Robot Syst 73(1–4):693–707CrossRefGoogle Scholar
  10. 10.
    Schilling RJ (1990) Fundamentals of robotics: analysis and control. Prentice HallGoogle Scholar
  11. 11.
    Siciliano B, Khatib, O (2008) Springer handbook of robotics. Springer Science & Business MediaGoogle Scholar
  12. 12.
    Katsu Y, Yoshihiko N (2008) A numerically robust LCP solver for simulating articulated rigid bodies in contact. In: Proceedings of robotics: science and systems IV, Zurich, Switzerland, vol 19, p 20Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Matko Orsag
    • 1
  • Christopher Korpela
    • 2
  • Paul Oh
    • 3
  • Stjepan Bogdan
    • 1
  1. 1.Laboratory for Robotics and Intelligent Control Systems, Faculty of Electrical Engineering and ComputingUniversity of ZagrebZagrebCroatia
  2. 2.Department of Electrical Engineering and Computer ScienceUnited States Military AcademyWest PointUSA
  3. 3.Department of Mechanical EngineeringUniversity of Nevada Las VegasLas VegasUSA

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