KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic environments - researchr publication authors

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Yanran Wang, James O'Keeffe, Qiuchen Qian, David E. Boyle. KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic environments. In 2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022. pages 11036-11043, IEEE, 2022. [doi]

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