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Giuseppe Loianno
Researcher at New York University
Publications - 114
Citations - 3309
Giuseppe Loianno is an academic researcher from New York University. The author has contributed to research in topics: Computer science & Inertial measurement unit. The author has an hindex of 28, co-authored 94 publications receiving 2243 citations. Previous affiliations of Giuseppe Loianno include University of Pennsylvania & Information Technology University.
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Estimation, Control, and Planning for Aggressive Flight With a Small Quadrotor With a Single Camera and IMU
TL;DR: The use of smartphone grade hardware and the small scale provides an inexpensive and practical solution for autonomous flight in indoor environments with extensive experimental results showing aggressive flights through and around obstacles with large rotation angular excursions and accelerations.
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System for deployment of groups of unmanned micro aerial vehicles in GPS-denied environments using onboard visual relative localization
Martin Saska,Tomas Baca,Justin Thomas,Jan Chudoba,Libor Preucil,Tomas Krajnik,Jan Faigl,Giuseppe Loianno,Vijay Kumar +8 more
TL;DR: This work verifies the possibility of self-stabilization of multi-MAV groups without an external global positioning system, and deployment of the system in real-world scenarios truthfully verifies its operational constraints.
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Cooperative Transportation Using Small Quadrotors Using Monocular Vision and Inertial Sensing
Giuseppe Loianno,Vijay Kumar +1 more
TL;DR: This letter addresses the state estimation, control, and trajectory planning in cooperative transportation of structures, which are either too heavy or too big to be carried by small microvehicles.
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Fast, autonomous flight in GPS-denied and cluttered environments
Kartik Mohta,Michael Watterson,Yash Mulgaonkar,Sikang Liu,Chao Qu,Anurag Makineni,Kelsey Saulnier,Ke Sun,Alex Zihao Zhu,Jeffrey A. Delmerico,Konstantinos Karydis,Nikolay Atanasov,Giuseppe Loianno,Davide Scaramuzza,Kostas Daniilidis,Camillo J. Taylor,Vijay Kumar +16 more
TL;DR: The system design and software architecture of the proposed solution are described and how all the distinct components can be integrated to enable smooth robot operation are showcased.
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A Distributed Optimization Framework for Localization and Formation Control: Applications to Vision-Based Measurements
TL;DR: Multiagent systems have been a major area of research for the last 15 years motivated by tasks that can be executed more rapidly in a collaborative manner or that are nearly impossible to carry out otherwise.