design and control of quadrotors with application to autonomous flying

By S. Microtechnique. 2007

496 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/84f61dcb847732df9d4ac20b10e54f66e1f4787f

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Citations in the corpus

Online Multi-Task Learning for Policy Gradient Methods (2014, methodology): “To ensure realistic dynamics, we used the simulated model described by Bouabdallah (2007), which has been verified on and used in the control of a physical quadrotor.”
Full control of a quadrotor (2007, methodology): “See [2] for numerical values.”
Quadrotors and Accelerometers: State Estimation with an Improved Dynamic Model (2014, background): “Other approaches include a drag force that is directly proportional to the quadrotor’s linear velocity [13]–[16].”
Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret (2015, methodology): “We used a linear quadratic regulator, as described by Bouabdallah (2007), to initialize the policies in both the learning and testing phases.”
Aerial remote sensing in agriculture: A practical approach to area coverage and path planning for fleets of mini aerial robots (2011, background): “However, most of them include consumer-off-the-shelf basic linear position controllers (e.g., PID) that lack high-position accuracy when the vehicle maneuvers at high speeds including in strong wind disturbances (Bouaballah, 2007).”
Vision based navigation for micro helicopters (2012, methodology): “An extensive overview on the history of airborne vehicles can be found in (Bouabdallah (2007)). Presently, research focuses on autonomous multi-copters where issues of control, navigation, flight time (i.e. energy) and miniaturization are analyzed. Because MAVs are in general highly unstable and non”
Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment (2015, methodology): “Quadrotor (QR): The system dynamics were adopted from a simulator validated on real quadrotors (Bouabdallah 2007; Voos & Bou Ammar 2010), and are described via three angles and three angular velocities in the body frame (i.e., e 1B , e 2B , and e 3B ).”
Robust state estimation for Micro Aerial Vehicles based on system dynamics (2015, methodology): “Complex dynamic models of multi-rotor MAVs have been exploited, e.g. by Bouabdallah [8].”
Design, modeling, estimation and control for aerial grasping and manipulation (2011, background): “None of this previous work, however, considers the changes in flight dynamics due to the grasped payload. b) Quadrotor Control: Quadrotor control has been widely addressed in the literature from basic hovering and trajectory following [8], [4] to aggressive and aerobatic maneuvers [12], [13] .”