This paper presents a novel method for solving the inverse kinematics of complex compound joints in robotics, utilizing feature parameters. The proposed method constructs a feature matrix containing 12 variable parameters, each represented by higher-order trigonometric functions. A third-order polynomial fitting technique is then applied to approximate these parameters, followed by the construction of a non-linear equation system based on the Jacobian matrix. The Newton iterative method is employed to solve this system, converging to an accurate solution. This method is characterized by high efficiency, precision, and broad applicability, making it suitable for the kinematic analysis and control of multi-degree-of-freedom robotic joints.

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A Method for Inverse Kinematics Solution Based on Feature Parameters

  • Longfei Jia,
  • Junning Zhang,
  • Pengfei Li,
  • Yaxing Guo,
  • Yifan Ma,
  • Meishan Guo

摘要

This paper presents a novel method for solving the inverse kinematics of complex compound joints in robotics, utilizing feature parameters. The proposed method constructs a feature matrix containing 12 variable parameters, each represented by higher-order trigonometric functions. A third-order polynomial fitting technique is then applied to approximate these parameters, followed by the construction of a non-linear equation system based on the Jacobian matrix. The Newton iterative method is employed to solve this system, converging to an accurate solution. This method is characterized by high efficiency, precision, and broad applicability, making it suitable for the kinematic analysis and control of multi-degree-of-freedom robotic joints.