日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
arXiv:2010.08696

A Systematic Approach to Computing the Manipulator Jacobian and Hessian using the Elementary Transform Sequence

A Systematic Approach to Computing the Manipulator Jacobian and Hessian using the Elementary Transform Sequence

シェア:XThreadsFacebookLINEはてブBluesky

著者: Jesse Haviland, Peter Corke

分類: cs.RO

原文アブストラクト

The elementary transform sequence (ETS) provides a universal method of describing the kinematics of any serial-link manipulator. The ETS notation is intuitive and easy to understand, while avoiding the complexity and limitations of Denvit-Hartenberg frame assignment. In this paper, we describe a systematic method for computing the manipulator Jacobian and Hessian (differential kinematics) using the ETS notation. Differential kinematics have many applications including numerical inverse kinematics, resolved-rate motion control and manipulability motion control. Furthermore, we provide an open-source Python library which implements our algorithm and can be interfaced with any serial-link manipulator (available at github.com/petercorke/robotics-toolbox-python).