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Exact Inverse Solution for a 7R Manipulator Based on a Novel Screw-Based Sub-problem

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Advances in Mechanism, Machine Science and Engineering in China (CCMMS 2022)

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Abstract

Inverse kinematics (IK) is a significant theoretical foundation for the real application of redundant manipulators. In existing methods, the Denavit-Hartenberg (DH) conversion and screw-based IK sub-problems have been utilized to calculate the inverse solution, but would be limited by some special manipulators’ configurations or cannot obtain exact solutions. In this paper, an exact inverse solution for a 7R manipulator is modeled based on screw theory. In the modeling, firstly assuming that the first joint is known, the total motion of all joints are divided into three steps of operational motions: Rotation about the second, third and fourth joints; Rotation about the five and six joints; And rotation about the last joint. Problems for the first two rotations can be both modeled based on a novel screw-based sub-problem. Finally, the angular displacements of six joints are formulated explicitly in terms of the redundant joint angle. Using the proposed method, all exact solutions can be obtained by traversing values of the redundant angle. The effectiveness and efficiency of the proposed technique is validated using a simulation in MATLAB.

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Acknowledgements

Supported by China Postdoctoral Science Foundation (No. 2021M700301), Scientific Research Project of Beijing Educational Committee (No. KM202210005031), and Beijing Post doctoral Research Foundation (No. Q6001211202101, Q6001211202102)

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Correspondence to Jingjing Xu .

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Liu, T., Liu, Z., Gan, T., Xu, J. (2023). Exact Inverse Solution for a 7R Manipulator Based on a Novel Screw-Based Sub-problem. In: Liu, X. (eds) Advances in Mechanism, Machine Science and Engineering in China. CCMMS 2022. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-9398-5_109

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  • DOI: https://doi.org/10.1007/978-981-19-9398-5_109

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-9397-8

  • Online ISBN: 978-981-19-9398-5

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