Structural and Dimensional Synthesis of Overconstraint Symmetric 3T2R Parallel Robots Using Tait-Bryan-Angle Kinematic Constraints

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Original languageEnglish
Title of host publicationAdvances in Robot Kinematics 2022
EditorsOscar Altuzarra, Andrés Kecskeméthy
Pages188-197
Number of pages10
ISBN (electronic)978-3-031-08140-8
Publication statusPublished - 18 Jun 2022

Publication series

NameSpringer Proceedings in Advanced Robotics
Volume24 SPAR
ISSN (Print)2511-1256
ISSN (electronic)2511-1264

Abstract

The basic parallel robotics principle of defining kinematic constraints as vector loops is transferred from the general 3T3R case to the 3T2R case by applying a nonlinear Tait-Bryan-angle rotation constraint using the intrinsic Z- Y - X ′ ′ convention. This presents an alternative way to the deduction of differential inverse kinematics by the theory of linear transformations. The resulting formulation is used in a permutational combined structural and dimensional synthesis. The modular approach allows to combine databases of serial and parallel robots without manual intervention. The validation shows the reproducibility of existing kinematic structures using the new kinematic formulation. The optimization scheme allows to obtain suitably dimensioned symmetric 3T2R parallel robots for a given task.

Keywords

    3T2R, Dimensional synthesis, Euler angles, Kinematic constraints, Overconstraint, Parallel manipulator, Parallel robot, Tait-Bryan angles

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Cite this

Structural and Dimensional Synthesis of Overconstraint Symmetric 3T2R Parallel Robots Using Tait-Bryan-Angle Kinematic Constraints. / Schappler, Moritz.
Advances in Robot Kinematics 2022. ed. / Oscar Altuzarra; Andrés Kecskeméthy. 2022. p. 188-197 (Springer Proceedings in Advanced Robotics; Vol. 24 SPAR).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Schappler, M 2022, Structural and Dimensional Synthesis of Overconstraint Symmetric 3T2R Parallel Robots Using Tait-Bryan-Angle Kinematic Constraints. in O Altuzarra & A Kecskeméthy (eds), Advances in Robot Kinematics 2022. Springer Proceedings in Advanced Robotics, vol. 24 SPAR, pp. 188-197. https://doi.org/10.15488/12463, https://doi.org/10.1007/978-3-031-08140-8_21
Schappler, M. (2022). Structural and Dimensional Synthesis of Overconstraint Symmetric 3T2R Parallel Robots Using Tait-Bryan-Angle Kinematic Constraints. In O. Altuzarra, & A. Kecskeméthy (Eds.), Advances in Robot Kinematics 2022 (pp. 188-197). (Springer Proceedings in Advanced Robotics; Vol. 24 SPAR). https://doi.org/10.15488/12463, https://doi.org/10.1007/978-3-031-08140-8_21
Schappler M. Structural and Dimensional Synthesis of Overconstraint Symmetric 3T2R Parallel Robots Using Tait-Bryan-Angle Kinematic Constraints. In Altuzarra O, Kecskeméthy A, editors, Advances in Robot Kinematics 2022. 2022. p. 188-197. (Springer Proceedings in Advanced Robotics). doi: 10.15488/12463, 10.1007/978-3-031-08140-8_21
Schappler, Moritz. / Structural and Dimensional Synthesis of Overconstraint Symmetric 3T2R Parallel Robots Using Tait-Bryan-Angle Kinematic Constraints. Advances in Robot Kinematics 2022. editor / Oscar Altuzarra ; Andrés Kecskeméthy. 2022. pp. 188-197 (Springer Proceedings in Advanced Robotics).
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abstract = "The basic parallel robotics principle of defining kinematic constraints as vector loops is transferred from the general 3T3R case to the 3T2R case by applying a nonlinear Tait-Bryan-angle rotation constraint using the intrinsic Z- Y ′ - X ′ ′ convention. This presents an alternative way to the deduction of differential inverse kinematics by the theory of linear transformations. The resulting formulation is used in a permutational combined structural and dimensional synthesis. The modular approach allows to combine databases of serial and parallel robots without manual intervention. The validation shows the reproducibility of existing kinematic structures using the new kinematic formulation. The optimization scheme allows to obtain suitably dimensioned symmetric 3T2R parallel robots for a given task. ",
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