A Recursive Lie-Group Formulation for the Second-Order Time Derivatives of the Inverse Dynamics of Parallel Kinematic Manipulators-Reference-Cited by-同舟云学术

A Recursive Lie-Group Formulation for the Second-Order Time Derivatives of the Inverse Dynamics of Parallel Kinematic Manipulators

Published:2023-06 Issue:6 Volume:8 Page:3804-3811
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Müller Andreas¹^ORCID,Kumar Shivesh²,Kordik Thomas¹

Affiliation:

1. Institute of Robotics, Johannes Kepler University Linz, Linz, Austria

2. Robotics Innovation Center, DFKI GmbH, Bremen, Germany

Funder

LCM K2 Center

Symbiotic Mechatronics within the Austrian COMET-K2 Program

DLR

German BMBF

VeryHuman Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10102643/10101821.pdf?arnumber=10101821

Reference42 articles.

1. Recursive second-order inverse dynamics for serial manipulators

2. The Formulation of Dynamical Equations of Holonomic Mechanical Systems Using a Natural Orthogonal Complement

3. Evaluation of Generalized Force Derivatives by Means of a Recursive Newton–Euler Approach

4. Rigid Body Dynamics Algorithms

5. A Lie Group Formulation of Robot Dynamics

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recurrent neural network for trajectory tracking control of manipulator with unknown mass matrix;Frontiers in Neurorobotics;2024-08-19

2. A Numerical Approximation Approach for Deriving Computational Efficient Inverse Dynamics of 6-DOF Parallel Robots Based on Principle of Virtual Work;IEEE Robotics and Automation Letters;2024-06

3. Kinematic jerk and jounce for multibody dynamics with joint constraints;Mechanism and Machine Theory;2024-06