@article {2019h-RylMusPieCatAntCacFra,
	title = {6D Interaction Control with Aerial Robots: The Flying End-Effector Paradigm},
	journal = {The International Journal of Robotics Research},
	volume = {38},
	year = {2019},
	pages = {1045-1062},
	doi = {10.1177/0278364919856694},
	attachments = {https://homepages.laas.fr/afranchi/robotics/sites/default/files/2019h-RylMusPieCatAntCacFra-preprint.pdf , https://homepages.laas.fr/afranchi/robotics/sites/default/files/2019h-RylMusPieCatAntCacFra-1.mp4 , https://homepages.laas.fr/afranchi/robotics/sites/default/files/2019h-RylMusPieCatAntCacFra-2.mp4 , https://homepages.laas.fr/afranchi/robotics/sites/default/files/2019h-RylMusPieCatAntCacFra-3.mp4},
	author = {Markus Ryll and Giuseppe Muscio and Francesco Pierri and Elisabetta Cataldi and Gianluca Antonelli and Fabrizio Caccavale and Davide Bicego and Antonio Franchi}
}
@article {2017b-AntCatArrRobChiFra,
	title = {Adaptive Trajectory Tracking for Quadrotor MAVs in Presence of Parameter Uncertainties and External Disturbances},
	journal = {IEEE Trans. on Control Systems Technology},
	volume = {26},
	year = {2018},
	month = {01/2018},
	pages = {248{\textendash}254},
	abstract = {This paper presents an adaptive trajectory tracking control strategy for quadrotor Micro Aerial Vehicles (MAVs). The proposed approach, while maintaining the typical assumption of an orientation dynamics faster than the translational one, re- moves that of absence of external disturbances and of Geometric Center coincident with the Center of Mass. In particular, the trajectory tracking control law is made adaptive with respect to the presence of external forces and moments (due, e.g., to wind), and to the uncertainty of dynamic parameters such as the position of the center of mass of the vehicle. A stability analysis is provided to analytically support the proposed controller. Finally, numerical simulations and experimental evaluations, performed with a commercially-available quadrotor MAV, are provided in order to validate the performance of the proposed adaptive control strategy.},
	author = {Gianluca Antonelli and Elisabetta Cataldi and Filippo Arrichiello and Paolo Robuffo Giordano and Stefano Chiaverini and Antonio Franchi}
}
@article {2018m-OllHerFraAntKonSanVigSanTruBalAndRod,
	title = {The AEROARMS Project: Aerial Robots with Advanced Manipulation Capabilities for Inspection and Maintenance},
	journal = {IEEE Robotics and Automation Magazine, Special Issue on Floating-base (Aerial and Underwater) Manipulation},
	volume = {25},
	year = {2018},
	month = {12/2018},
	pages = {12-23},
	abstract = {This paper summarizes new aerial robotic manipu- lation technologies and methods, required for outdoor industrial inspection and maintenance, developed in the AEROARMS project. It presents aerial robotic manipulators with dual arms and multi-directional thrusters. It deals with the control systems, including the control of the interaction forces and the compliance, the teleoperation, which uses passivity to tackle the trade- off between stability and performance, perception methods for localization, mapping and inspection, and planning methods, including a new control-aware approach for aerial manipulation. Finally, it describes a novel industrial platform with multi- directional thrusters and a new arm design to increase the robustness in industrial contact inspections. The lessons learned in the application to outdoor aerial manipulation for inspection and maintenance are pointed out.},
	attachments = {https://homepages.laas.fr/afranchi/robotics/sites/default/files/2018m-OllHerFraAntKonSanVigSanTruBalAndRod-preprint_3.pdf},
	author = {Anibal Ollero and Guillermo Heredia and Antonio Franchi and Gianluca Antonelli and Konstantin Kondak and Alberto Sanfeliu and Antidio Viguria and Jose R. Martinez-de Dios and Francesco Pierri and Juan Cort{\'e}s and A. Santamaria-Navarro and Miguel A. Trujillo and Ribin Balachandran and Juan Andrade-Cetto and Angel Rodriguez}
}
@article {2018i-TogCatTelAntCorFra,
	title = {Control-Aware Motion Planning for Task-Constrained Aerial Manipulation},
	journal = {IEEE Robotics and Automation Letters, Special Issue on Aerial Manipulation},
	volume = {3},
	year = {2018},
	note = {Also selected for presentation at the 2018 IEEE Int. Conf. on Robotics and Automation, Brisbane , Australia},
	month = {02/2018},
	pages = {2478-2484},
	attachments = {https://homepages.laas.fr/afranchi/robotics/sites/default/files/2018i-TogCatTelAntCorFra-preprint.pdf , https://homepages.laas.fr/afranchi/robotics/sites/default/files/2018i-TogCatTelAntCorFra.mp4},
	author = {Marco Tognon and Elisabetta Cataldi and Hermes Tello Chavez and Gianluca Antonelli and Juan Cort{\'e}s and Antonio Franchi}
}
@conference {2017e-RylMusPieCatAntCacFra,
	title = {6D Physical Interaction with a Fully Actuated Aerial Robot},
	booktitle = {2017 IEEE Int. Conf. on Robotics and Automation},
	year = {2017},
	month = {05/2017},
	pages = {5190-5195},
	address = {Singapore},
	abstract = {This paper presents the design, control, and experimental validation of a novel fully{\textendash}actuated aerial robot for physically interactive tasks, named Tilt-Hex. We show how the Tilt-Hex, a tilted-propeller hexarotor is able to control the full pose (position and orientation independently) using a geometric control, and to exert a full-wrench (force and torque independently) with a rigidly attached end-effector using an admittance control paradigm. An outer loop control governs the desired admittance behavior and an inner loop based on geometric control ensures pose tracking. The interaction forces are estimated by a momentum based observer. Control and observation are made possible by a precise control and measurement of the speed of each propeller. An extensive experimental campaign shows that the Tilt-Hex is able to outperform the classical underactuated multi-rotors in terms of stability, accuracy and dexterity and represent one of the best choice at date for tasks requiring aerial physical interaction.},
	attachments = {https://homepages.laas.fr/afranchi/robotics/sites/default/files/2017e-RylMusPieCatAntCacFra-preprint.pdf , https://homepages.laas.fr/afranchi/robotics/sites/default/files/2017e-RylMusPieCatAntCacFra.mp4},
	author = {Markus Ryll and Giuseppe Muscio and Francesco Pierri and Elisabetta Cataldi and Gianluca Antonelli and Fabrizio Caccavale and Antonio Franchi}
}
@conference {2013k-AntCatRobChiFra,
	title = {Experimental Validation of a New Adaptive Control for Quadrotors},
	booktitle = {2013 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems},
	year = {2013},
	month = {11/2013},
	address = {Tokyo, Japan},
	keywords = {UAV hardware platforms},
	attachments = {https://homepages.laas.fr/afranchi/robotics/sites/default/files/2013k-AntCatRobChiFra-preprint.pdf},
	author = {Gianluca Antonelli and Elisabetta Cataldi and Paolo Robuffo Giordano and Stefano Chiaverini and Antonio Franchi}
}
