Optimization Methods for Aerial Vehicles
Lecturer: Marco Tognon
Rennes University, France
December 17th, 2024 | 2.30 pm
Politecnico di Milano - T.2.1 Room (Bld. 13)
Via Bonardi, 9
Contact: Prof. Lorenzo Fagiano
Rennes University, France
December 17th, 2024 | 2.30 pm
Politecnico di Milano - T.2.1 Room (Bld. 13)
Via Bonardi, 9
Contact: Prof. Lorenzo Fagiano
Sommario
On December 17th, 2024 at 2.30 pm Marco Tognon, researcher at Inria Center of Rennes University, will hold a Lecture on "Optimization Methods for Aerial Vehicles" in Politecnico di Milano, T.2.1 Room (Building 13 - Trifoglio).
This class on "Optimization Methods for Aerial Vehicles" aims to equip participants with a comprehensive understanding of the principles and applications of optimal control in the context of aerial robotics. The course begins by defining optimal control problems, emphasizing the significance of various cost functions and the tools used to solve them. Throughout the sessions, four key examples are explored to illustrate the practical implementation of these concepts: direct force optimal control for aerial manipulators, optimal flight control for overactuated omnidirectional aerial manipulators, extensions to physical interaction, and stochastic optimal control for complex manipulation tasks. By the end of the course, attendees will have gained insight into how optimization techniques can be applied to enhance the performance and capabilities of aerial vehicles, particularly in handling tasks that involve complex interactions and constraints.
This class on "Optimization Methods for Aerial Vehicles" aims to equip participants with a comprehensive understanding of the principles and applications of optimal control in the context of aerial robotics. The course begins by defining optimal control problems, emphasizing the significance of various cost functions and the tools used to solve them. Throughout the sessions, four key examples are explored to illustrate the practical implementation of these concepts: direct force optimal control for aerial manipulators, optimal flight control for overactuated omnidirectional aerial manipulators, extensions to physical interaction, and stochastic optimal control for complex manipulation tasks. By the end of the course, attendees will have gained insight into how optimization techniques can be applied to enhance the performance and capabilities of aerial vehicles, particularly in handling tasks that involve complex interactions and constraints.
Biografia
From November 2022 Dr. Marco Tognon is a tenured researcher at Inria Center of Rennes University, France, in the Rainbow team. Before he was a postdoctoral researcher in the Autonomous System Lab (ASL) at ETH Zurich, Switzerland. He received the Ph.D. degree in Robotics in 2018, from INSA Toulouse, France, developing his thesis at LAAS-CNRS. His thesis has been awarded with three prizes. He received the M.Sc. degree in automation engineering in 2014, from the University of Padua, Italy, with a master thesis carried out at MPI for Biological Cybernetics, Tubingen, Germany.
He published more than 25 journal papers, and he is coordinator of the ANR project AirHandyBot. He serves as Associate Editor for IEEE Transaction of Robotics and as Area Chair for RSS2023. He is also co-chair for the IEEE TC Aerial Robotics and Unmanned Aerial Vehicles. Recently he received the IROS24 Toshio Fukuda Young Professional Award. His current research interests include robotics, aerial physical interaction, multi-robot systems, and human-robot physical interaction.
He published more than 25 journal papers, and he is coordinator of the ANR project AirHandyBot. He serves as Associate Editor for IEEE Transaction of Robotics and as Area Chair for RSS2023. He is also co-chair for the IEEE TC Aerial Robotics and Unmanned Aerial Vehicles. Recently he received the IROS24 Toshio Fukuda Young Professional Award. His current research interests include robotics, aerial physical interaction, multi-robot systems, and human-robot physical interaction.
