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# RF-MPC Representation-Free Model Predictive Control (RF-MPC) is a MATLAB simulation framework for dynamic legged robots. RF-MPC represents the orientation using the rotation matrix and thus does not have the singularity issue associated with the Euler angles. The linear dynamics on the rotation matrix is derived using variation-based linearization (VBL). ![](https://i.imgur.com/mvZZUCj.gif) video available at: [YouTube Video](https://www.youtube.com/watch?v=iMacEwQisoQ&t=101s) ## Requirement Basic: MATLAB and MATLAB optimization toolbox Optional: qpSWIFT (can be obtained from https://github.com/qpSWIFT) ## Installation There is no need to install external packages. ## Usage navigate to the root directory and run the MAIN.m function ``` MATLAB MAIN ``` ### The Plant The robot is modeled as a single rigid body (SRB). The SRB dynamics is defined in ``` MATLAB ...\fcns\dynamics_SRB.m ``` ### VBL and vectorization The code for variation-based linearization and vectorization steps is in ``` MATLAB ...\fcns_MPC\fcn_get_ABD_eta.m ``` ### Quadratic Program (QP) The code for QP formulation is in ``` MATLAB ...\fcns_MPC\fcn_get_QP_form_eta.m ``` The QP could be solved by either the MATLAB QP solver *quadprog* or a efficient QP solver qpSWIFT (coming soon!) ## How to cite @ARTICLE{9321699, author={Y. {Ding} and A. {Pandala} and C. {Li} and Y. -H. {Shin} and H. -W. {Park}}, journal={IEEE Transactions on Robotics}, title={Representation-Free Model Predictive Control for Dynamic Motions in Quadrupeds}, year={2021}, volume={}, number={}, pages={1-18}, doi={10.1109/TRO.2020.3046415}} ## References This code is based on the following publications: * Yanran Ding, Abhishek Pandala, Chuanzheng Li, Young-Ha Shin, Hae-Won Park "Representation-Free Model Predictive Control for Dynamic Motions in Quadrupeds". In IEEE Transactions on Robotics. [PDF](https://ieeexplore.ieee.org/document/9321699) * Yanran Ding, Abhishek Pandala, and Hae-Won Park. "Real-time model predictive control for versatile dynamic motions in quadrupedal robots". In IEEE 2019 International Conference on Robotics and Automation (ICRA). [PDF](https://ieeexplore.ieee.org/abstract/document/8793669) ## Authors [Yanran Ding](https://sites.google.com/view/yanranding/home) - Initial Work/Maintainer ## Contributing For major changes, please open an issue first to discuss what you would like to change. ## Acknowledgments * Thanks to co-authors and mentors # my_rf_mpc # my_rf_mpc

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