Inverse Kinematics for Functional Redundancy of Symmetric 3T1R Parallel Manipulators Using Tait-Bryan-Angle Kinematic Constraints

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Original languageEnglish
Title of host publicationAdvances in Robot Kinematics 2022
EditorsOscar Altuzarra, Andrés Kecskeméthy
Pages198-207
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

Functional redundancy for parallel manipulators (PM) with 3T1R degrees of freedom (DoF) presents an untreated niche regarding a general and systematic kinematic description. For an efficient formulation of the inverse kinematics problem (IKP) an existing approach using intrinsic Z- Y - X ′ ′ Tait-Bryan angles for the rotational kinematic constraints is transferred from 3T3R PMs to 3T1R PMs. The adaption of the kinematics model for the five-DoF leg chains of symmetric 3T1R PMs is elaborated in detail. The presented application in a Newton-Raphson IK scheme with nullspace projection is validated within a dimensional synthesis of such PMs, already exploiting the redundancy. The framework is able to reproduce existing PMs from literature. Results show the dimensioning of PMs for an exemplary task.

Keywords

    3T1R, Dimensional synthesis, Euler angles, Functional redundancy, Kinematic constraints, Parallel manipulator, Parallel robot, Tait-Bryan angles

ASJC Scopus subject areas

Cite this

Inverse Kinematics for Functional Redundancy of Symmetric 3T1R Parallel Manipulators Using Tait-Bryan-Angle Kinematic Constraints. / Schappler, Moritz.
Advances in Robot Kinematics 2022. ed. / Oscar Altuzarra; Andrés Kecskeméthy. 2022. p. 198-207 (Springer Proceedings in Advanced Robotics; Vol. 24 SPAR).

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

Schappler, M 2022, Inverse Kinematics for Functional Redundancy of Symmetric 3T1R Parallel Manipulators 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. 198-207. https://doi.org/10.1007/978-3-031-08140-8_22, https://doi.org/10.1007/978-3-031-08140-8_22
Schappler, M. (2022). Inverse Kinematics for Functional Redundancy of Symmetric 3T1R Parallel Manipulators Using Tait-Bryan-Angle Kinematic Constraints. In O. Altuzarra, & A. Kecskeméthy (Eds.), Advances in Robot Kinematics 2022 (pp. 198-207). (Springer Proceedings in Advanced Robotics; Vol. 24 SPAR). https://doi.org/10.1007/978-3-031-08140-8_22, https://doi.org/10.1007/978-3-031-08140-8_22
Schappler M. Inverse Kinematics for Functional Redundancy of Symmetric 3T1R Parallel Manipulators Using Tait-Bryan-Angle Kinematic Constraints. In Altuzarra O, Kecskeméthy A, editors, Advances in Robot Kinematics 2022. 2022. p. 198-207. (Springer Proceedings in Advanced Robotics). doi: 10.1007/978-3-031-08140-8_22, 10.1007/978-3-031-08140-8_22
Schappler, Moritz. / Inverse Kinematics for Functional Redundancy of Symmetric 3T1R Parallel Manipulators Using Tait-Bryan-Angle Kinematic Constraints. Advances in Robot Kinematics 2022. editor / Oscar Altuzarra ; Andrés Kecskeméthy. 2022. pp. 198-207 (Springer Proceedings in Advanced Robotics).
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abstract = "Functional redundancy for parallel manipulators (PM) with 3T1R degrees of freedom (DoF) presents an untreated niche regarding a general and systematic kinematic description. For an efficient formulation of the inverse kinematics problem (IKP) an existing approach using intrinsic Z- Y ′ - X ′ ′ Tait-Bryan angles for the rotational kinematic constraints is transferred from 3T3R PMs to 3T1R PMs. The adaption of the kinematics model for the five-DoF leg chains of symmetric 3T1R PMs is elaborated in detail. The presented application in a Newton-Raphson IK scheme with nullspace projection is validated within a dimensional synthesis of such PMs, already exploiting the redundancy. The framework is able to reproduce existing PMs from literature. Results show the dimensioning of PMs for an exemplary task. ",
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