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The AIRPHARO2021 includes two Keynote Lectures of leading scientists - we are honored to have their talks as part of this year’s Workshop program. The names of Keynote Lecturers, place, time and day of their talk, as well as the title and abstract of their talks are listed in alphabetical order below.
The AIRPHARO2021 includes two Keynote Lectures of leading scientists - we are honored to have their talks as part of this year’s Workshop program. The names of Keynote Lecturers, place, time and day of their talk, as well as the title and abstract of their talks are listed in alphabetical order below.
Intelligent and bioinspired aerial manipulators
Intelligent and bioinspired aerial manipulators
Prof. Anibal Ollero, Director of the GRVC Robotics Lab at the University of Seville; Scientific advisor of the CATEC Aerospace Technology Center
Location: Room Adriatic
Monday, October 4th, 8:30-9:10
Abstract:
This keynote talk will introduce different operational modes of aerial manipulators, by including manipulation while flying, holding and perching. Next will present different perception and planning functionalities for aerial manipulators. The third part of the talk is devoted to bioinspired aerial systems with flapping, gliding, perching and manipulation capabilities. In the keynote talk I will present results and experiments of the AERIAL-CORE H2020 project and of the GRIFFIN Advanced Grant of the European Research Council.
Challenges in Controller Design for Unconventional UAVs
Challenges in Controller Design for Unconventional UAVs
Prof. Kimon Valavanis, Director of Research and Innovation at D. F. Ritchie School of Engineering and Computer Science; University of Denver
Location: Room Adriatic
Tuesday, October 5th, 8:30-9:10
Abstract:
Modeling and control of NextGen unmanned aircraft, including reconfigurable and hybrid ones, require consideration and incorporation of time-varying parameters and unstructured uncertainties. Accurate modeling includes not just one ‘nominal’ model, but a family of ‘admissible models’ on which robust controller design is based. Controller design may follow either the ‘one controller fits all models’, or the ‘reconfigurable controller’ paradigm. Regardless, modeling and control is based on a combination of model-based and data-driven approaches where parts of the system are learned and updated in (almost) real-time.
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