Malyuta, Danylo, Reynolds, Taylor P., Szmuk, Michael, Lew, Thomas, Bonalli, Riccardo, Pavone, Marco, and Acikmese, Behcet. Convex Optimization for Trajectory Generation: A Tutorial on Generating Dynamically Feasible Trajectories Reliably and Efficiently. Retrieved from https://par.nsf.gov/biblio/10377628. IEEE Control Systems 42.5 Web. doi:10.1109/MCS.2022.3187542.

Malyuta, Danylo, Reynolds, Taylor P., Szmuk, Michael, Lew, Thomas, Bonalli, Riccardo, Pavone, Marco, & Acikmese, Behcet. Convex Optimization for Trajectory Generation: A Tutorial on Generating Dynamically Feasible Trajectories Reliably and Efficiently. IEEE Control Systems, 42 (5). Retrieved from https://par.nsf.gov/biblio/10377628. https://doi.org/10.1109/MCS.2022.3187542

Malyuta, Danylo, Reynolds, Taylor P., Szmuk, Michael, Lew, Thomas, Bonalli, Riccardo, Pavone, Marco, and Acikmese, Behcet. "Convex Optimization for Trajectory Generation: A Tutorial on Generating Dynamically Feasible Trajectories Reliably and Efficiently". IEEE Control Systems 42 (5). Country unknown/Code not available. https://doi.org/10.1109/MCS.2022.3187542. https://par.nsf.gov/biblio/10377628.

@article{osti_10377628,
place = {Country unknown/Code not available}, title = {Convex Optimization for Trajectory Generation: A Tutorial on Generating Dynamically Feasible Trajectories Reliably and Efficiently}, url = {https://par.nsf.gov/biblio/10377628}, DOI = {10.1109/MCS.2022.3187542}, abstractNote = {}, journal = {IEEE Control Systems}, volume = {42}, number = {5}, author = {Malyuta, Danylo and Reynolds, Taylor P. and Szmuk, Michael and Lew, Thomas and Bonalli, Riccardo and Pavone, Marco and Acikmese, Behcet}, }