Abstract
We reformulate and extend the HuPf algorithm (see [7]), which was originally designed for a general 6R manipulator (i.e. 6 jointed open serial chain/robot with only rotational joints), to solve the inverse kinematic (IK) problem of 6R/P manipulators (6-jointed open serial robot with joints that are either rotational or prismatic/translational). For the algorithm we identify the kinematic images of 3R/P chains with a quasi-projective variety in \(\mathbb {P}^7\) via dual quaternions. More specifically, these kinematic images are projections of the intersection of a Segre variety with a linear 3-space to an open subset of \(\mathbb {P}^7\) (identified with the special Euclidean group \(\mathrm {SE}(3)\)). We show an easy and efficient algorithm to obtain the linear varieties associated to 3R/P subchains of a 6R/P manipulator. We provide examples showing the linear spaces for different 3R/P chains (a full list of them is available in an upcoming paper). Accompanying the extended HuPf algorithm we provide numerical examples showing real IK solutions to some 6R/P manipulators.
J. Capco—Supported and funded by the Austrian Science Fund (FWF): Project P28349-N32 and W1214-N14 Project DK9.
S. M. Manongsong—Supported by the Office of the Chancellor of the University of the Philippines Diliman, through the Office of the Vice Chancellor for Research and Development, for funding support through the Outright Research Grant.
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Capco, J., Manongsong, S.M.: Linear Spaces Associated to 3R/P Kinematic Image [Data set]. Zenodo (2019). https://doi.org/10.5281/zenodo.3147394
Capco, J., Manongsong, S.M.: Code: Implementing HuPf Algorithm for the inverse Kinematics of General 6R/P Manipulators. Zenodo (2019). https://doi.org/10.5281/zenodo.3157441
Collins, G.E.: Quantifier elimination by cylindrical algebraic decomposition - twenty years of progress. In: Caviness, B.F., Johnson, J.R. (eds.) Quantifier Elimination and Cylindrical Algebraic Decomposition, pp. 8–23. Springer, Vienna (1998). https://doi.org/10.1007/978-3-7091-9459-1_2
Cox, D., Little, J., O’Shea, D.: Ideals, Varieties and Algorithms, 3rd edn. Springer, New York (2007). https://doi.org/10.1007/978-0-387-35651-8
Parisse B., De Graeve R.: Giac/Xcas. https://www-fourier.ujf-grenoble.fr/~parisse/giac.html. Accessed February 2019
Han F.: giacpy. https://gitlab.math.univ-paris-diderot.fr/han/giacpy. Accessed February 2019
Husty, M., Pfurner, M., Schröcker, H.-P.: A new and efficient algorithm for the inverse kinematics of a general serial 6R manipulator. Mech. Mach. Theory 42, 66–81 (2007)
Husty, M., Schröcker, H.-P.: Kinematics and algebraic geometry. In: McCarthy, J.M. (ed.) 21st Century Kinematics, pp. 85–123. Springer, London (2012). https://doi.org/10.1007/978-1-4419-0999-2_4
Pfurner, M.: Analysis of spatial serial Manipulators using kinematic mapping. Doctoral thesis, Institute for Basic Sciences in Engineering, Unit Geometry and CAD, University of Innsbruck, October 2006
Selig, J.M.: Geometric Fundamentals of Robotics. Monographs in Computer Science, 2nd edn. Springer, New York (2005). https://doi.org/10.1007/b138859. (Ed.: D. Gries, F.B. Schneider)
Spong, M.W., Hutchinson, S., Vidyasagar, M.: Robot Modeling and Control. Wiley, New York (2005)
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Capco, J., Manongsong, S.M. (2019). Implementing HuPf Algorithm for the Inverse Kinematics of General 6R/P Manipulators. In: England, M., Koepf, W., Sadykov, T., Seiler, W., Vorozhtsov, E. (eds) Computer Algebra in Scientific Computing. CASC 2019. Lecture Notes in Computer Science(), vol 11661. Springer, Cham. https://doi.org/10.1007/978-3-030-26831-2_6
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