Analytical inverse kinematic computation for 7-DOF redundant sliding manipulators

Yuchuang Tong, Jinguo Liu, Yuwang Liu, Yuan Yuan

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

The shape and movement irregularities of rail-type redundant sliding manipulators lead to structural uncertainty, which results in inverse kinematics computations that are considerably more complicated than those of the traditional redundant manipulator currently studied. In this paper, an analytical inverse kinematic parameterized method is proposed for the redundant sliding manipulators, which solves the inverse kinematics analytically and adopts the Newton–Raphson algorithm for secondary adjustment. This paper is the first time to propose a general analytical inverse kinematics solution for all types of rail-type redundant sliding manipulators. Furthermore, the special structural characteristics of the rail-type redundant sliding manipulator are analyzed in this paper. The proposed method takes the redundant circular-sliding manipulator as the research object, and extends to all types of rail-type redundant sliding manipulators. It has the advantages of simplicity, practicability, obvious geometric meaning and universality, which can solve the real-time motion planning and control issues of all types of redundant sliding manipulators. Simulation illustrations and physical experiments are performed to verify the effectiveness and universality of the method.

Original languageEnglish
Article number104006
JournalMechanism and Machine Theory
Volume155
DOIs
StatePublished - Jan 2021

Keywords

  • Analytical solution
  • Inverse kinematics
  • Parameterization
  • Redundant manipulator
  • Sliding manipulator

Fingerprint

Dive into the research topics of 'Analytical inverse kinematic computation for 7-DOF redundant sliding manipulators'. Together they form a unique fingerprint.

Cite this