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Identification of State-Dependent Dynamic Model Parameters for Robotic Manipulator Systems

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Robotic Dynamics Identification toolbox

Getting started

To make it easy for you to get started with GitLab, here's a list of recommended next steps.

Already a pro? Just edit this README.md and make it your own. Want to make it easy? Use the template at the bottom!

Add your files

cd existing_repo
git remote add origin https://gitlab.com/wissem4093934/tt.git
git branch -M main
git push -uf origin main

Integrate with your tools

Collaborate with your team

Test and Deploy

Use the built-in continuous integration in GitLab.


Editing this README

When you're ready to make this README your own, just edit this file and use the handy template below (or feel free to structure it however you want - this is just a starting point!). Thanks to makeareadme.com for this template.

Suggestions for a good README

Every project is different, so consider which of these sections apply to yours. The sections used in the template are suggestions for most open source projects. Also keep in mind that while a README can be too long and detailed, too long is better than too short. If you think your README is too long, consider utilizing another form of documentation rather than cutting out information.

Robotic Dynamics Identification Toolbox

Choose a self-explaining name for your project.

Installation

Software Requirements

Compiling MEX functions

Usage

Use examples liberally, and show the expected output if you can. It's helpful to have inline the smallest example of usage that you can demonstrate, while providing links to more sophisticated examples if they are too long to reasonably include in the README.

Contributing

see the CONTRIBUTING guide.

References

  • A three-loop physical parameter identification method of robot manipulators considering physical feasibility and nonlinear friction mode, Tangzhong Song, Lijin Fang,Guanghui Liu, Hanyu Pang, 2024
  • Comprehensive modeling and identification of nonlinear joint dynamics for collaborative industrial robot manipulators, Emil Madsen, Oluf Skov Rosenlund, David Brandt, Xuping Zhang, 2020
  • Robotics Modelling Planning and Control, hi,
  • Global Identification of Joint Drive Gains and Dynamic Parameters of Robots , Maxime Gautier, Sebastien Brio, 2014
  • Direct Calculation of Minimum Set of Inertial Parameters of Serial Robots, Maxime Gautier, Wisama khalil, 1990
  • Efficient Dynamic Computer Simulation of Robotic Mechanisms, M.W.Walker, D. E. Orin, 1982
  • Inertial Parameter Identification in Robotics: A Survey, Quentin Leboutet, Julien Roux, Alexandre Janot, Julio Rogelio, Gordon Cheng, 2021
  • Practical Modeling and Comprehensive System Identification of a BLDC Motor, Changle Xiang, Xiaoliang Wang, Yue Ma, and Bin Xu, 2015
  • Identiable Parameters and Optimum Congurations for Robots Calibration, W. Khalil, M. Gautier and Ch. Enguehard, 2009, Robotica
  • Recursive identification of certain structured time varying state-space models, M.H. Moazzam T. Hesketh, D.J.Clements, 1997
  • Comparison Between the CLOE Method and the DIDIM Method for Robots Identification, Alexandre Janot, Maxime Gautier, Anthony Jubien, and Pierre Olivier Vandanjon, 2014
  • Robot Joint Modeling and Parameter Identification Using the Clamping Method, Christian Lehmann ∗ Bjorn Olofsson, Klas Nilsson, Marcel Halbauer, Mathias Haage, Anders Robertsson, Olof Sornmo, Ulrich Berger, 2013
  • Fundamentals of friction modeling, Farid Al-Bender, 2015
  • Constrained State Estimation - A Review, Nesrine Amor, Ghualm Rasool, and Nidhal C. Bouaynaya, arXiv, 2022

License

See LICENSE file.