KinoJGM: A framework for efficient and accurate quadrotor trajectory
generation and tracking in dynamic environments

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KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic environments

24 February 2022

James O’Keeffe

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Papers citing "KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic environments"

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Title
An Accurate Filter-based Visual Inertial External Force Estimator via Instantaneous Accelerometer Update Junlin Song Antoine Richard Miguel Olivares-Mendez 34 1 0 29 Aug 2024
Is That Rain? Understanding Effects on Visual Odometry Performance for Autonomous UAVs and Efficient DNN-based Rain Classification at the Edge Andrea Albanese Yanran Wang Davide Brunelli David E. Boyle 135 1 0 17 Jul 2024
QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking Yanran Wang James O’Keeffe Qiuchen Qian David E. Boyle 83 9 0 15 Jul 2022
Interpretable Stochastic Model Predictive Control using Distributional Reinforced Estimation for Quadrotor Tracking Systems Yanran Wang James O’Keeffe Qiuchen Qian David E. Boyle 44 4 0 14 May 2022
Practical Mission Planning for Optimized UAV-Sensor Wireless Recharging Qiuchen Qian James O’Keeffe Yanran Wang David E. Boyle 50 4 0 09 Mar 2022