Residual Dynamics Learning for Trajectory Tracking for Multi-rotor
Aerial Vehicles

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Residual Dynamics Learning for Trajectory Tracking for Multi-rotor Aerial Vehicles

25 May 2023

Geesara Kulathunga

Alexandr Klimchik

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Papers citing "Residual Dynamics Learning for Trajectory Tracking for Multi-rotor Aerial Vehicles"

8 / 8 papers shown

Title
Time-Optimal Online Replanning for Agile Quadrotor Flight Angel Romero Robert Pěnička Davide Scaramuzza 57 56 0 18 Mar 2022
Optimization-based Trajectory Tracking Approach for Multi-rotor Aerial Vehicles in Unknown Environments Geesara Kulathunga Hany Hamed D. Devitt Alexandr Klimchik 37 17 0 12 Feb 2022
KNODE-MPC: A Knowledge-based Data-driven Predictive Control Framework for Aerial Robots K. Y. Chee Tom Z. Jiahao M. A. Hsieh 65 66 0 10 Sep 2021
Path Planning Followed by Kinodynamic Smoothing for Multirotor Aerial Vehicles (MAVs) Geesara Kulathunga D. Devitt R. Fedorenko S. Savin Alexandr Klimchik 26 12 0 29 Aug 2020
RAPTOR: Robust and Perception-aware Trajectory Replanning for Quadrotor Fast Flight Boyu Zhou Jie Pan Fei Gao Shaojie Shen 62 226 0 06 Jul 2020
Real-Time Long Range Trajectory Replanning for MAVs in the Presence of Dynamic Obstacles Geesara Kulathunga R. Fedorenko Sergey Kopylov Alexandr Klimchik 41 5 0 10 Jan 2020
An Efficient B-spline-Based Kinodynamic Replanning Framework for Quadrotors Wenchao Ding Wenliang Gao Kaixuan Wang Shaojie Shen 32 92 0 24 Jun 2019
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) A. Wilson H. Nickisch GP 71 514 0 03 Mar 2015