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Electronics and Electrical Engineering

D-Index
36
Citations
4934
World Ranking
5381
National Ranking
1856

Overview

Giuseppe Loianno is affiliated with New York University in the United States. Their research spans multiple areas within engineering and computer science, with a significant focus on aerospace engineering, control systems, robotics, and computer vision.

The main fields of study covered by Loianno include:

  • Engineering
  • Computer Science

Within these broad fields, their work concentrates on several subfields, particularly:

  • Aerospace Engineering
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Artificial Intelligence

Loianno's research topics frequently address:

  • Robotic Path Planning Algorithms
  • Robotics and Sensor-Based Localization
  • UAV Applications and Optimization
  • Millimeter-Wave Propagation and Modeling
  • Adaptive Control of Nonlinear Systems
  • Advanced Vision and Imaging
  • Advanced Control Systems Optimization

They have contributed to multiple publication venues, most notably:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Robotics
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Field Robotics

Recent published papers by Giuseppe Loianno include:

  • "Multi-Robot Collaborative Perception With Graph Neural Networks," 2022, IEEE Robotics and Automation Letters
  • "Cooperative Transportation of Cable Suspended Payloads With MAVs Using Monocular Vision and Inertial Sensing," 2021, IEEE Robotics and Automation Letters
  • "Learning quadrotor dynamics for precise, safe, and agile flight control," 2023, Annual Reviews in Control
  • "Generative Neural Network Channel Modeling for Millimeter-Wave UAV Communication," 2022, IEEE Transactions on Wireless Communications
  • "IMU-Based Inertia Estimation for a Quadrotor Using Newton-Euler Dynamics," 2020, IEEE Robotics and Automation Letters

Loianno frequently collaborates with the following researchers:

  • Guanrui Li
  • Jeffrey Mao
  • Alessandro Saviolo
  • William Xia
  • Sundeep Rangan

Best Publications

  • Estimation, Control, and Planning for Aggressive Flight With a Small Quadrotor With a Single Camera and IMU

    Giuseppe Loianno;Chris Brunner;Gary McGrath;Vijay Kumar

  • 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

  • Fast, autonomous flight in GPS-denied and cluttered environments

    Kartik Mohta;Michael Watterson;Yash Mulgaonkar;Sikang Liu

  • Autonomous landing on a moving vehicle with an unmanned aerial vehicle

    Tomas Baca;Petr Stepan;Vojtech Spurny;Daniel Hert

  • Autonomous Navigation and Mapping for Inspection of Penstocks and Tunnels With MAVs

    Tolga Ozaslan;Giuseppe Loianno;James Keller;Camillo J. Taylor

  • Cooperative Transportation Using Small Quadrotors Using Monocular Vision and Inertial Sensing

    Giuseppe Loianno;Vijay Kumar

  • A Distributed Optimization Framework for Localization and Formation Control: Applications to Vision-Based Measurements

    Roberto Tron;Justin Thomas;Giuseppe Loianno;Kostas Daniilidis

  • Toward image based visual servoing for aerial grasping and perching

    Justin Thomas;Giuseppe Loianno;Koushil Sreenath;Vijay Kumar

  • Model Predictive Trajectory Tracking and Collision Avoidance for Reliable Outdoor Deployment of Unmanned Aerial Vehicles

    Tomas Baca;Daniel Hert;Giuseppe Loianno;Martin Saska

  • Swarm Distribution and Deployment for Cooperative Surveillance by Micro-Aerial Vehicles

    Martin Saska;Vojtĕch Vonásek;Jan Chudoba;Justin Thomas

  • Autonomous deployment of swarms of micro-aerial vehicles in cooperative surveillance

    Martin Saska;Jan Chudoba;Libor Precil;Justin Thomas

  • Cooperative autonomous search, grasping, and delivering in a treasure hunt scenario by a team of unmanned aerial vehicles

    Vojtěch Spurný;Tomáš Báča;Martin Saska;Robert Pěnička

  • Toward autonomous avian-inspired grasping for micro aerial vehicles.

    Justin Thomas;Giuseppe Loianno;Joseph Polin;Koushil Sreenath

  • Autonomous Flight for Detection, Localization, and Tracking of Moving Targets With a Small Quadrotor

    Justin Thomas;Jake Welde;Giuseppe Loianno;Kostas Daniilidis

  • Visual-inertial direct SLAM

    Alejo Concha;Giuseppe Loianno;Vijay Kumar;Javier Civera

  • Localization, Grasping, and Transportation of Magnetic Objects by a team of MAVs in Challenging Desert like Environments

    Giuseppe Loianno;Vojtech Spurny;Justin Thomas;Tomas Baca

  • Visual Inertial Odometry Swarm: An Autonomous Swarm of Vision-Based Quadrotors

    Aaron Weinstein;Adam Cho;Giuseppe Loianno;Vijay Kumar

  • Visual Servoing of Quadrotors for Perching by Hanging From Cylindrical Objects

    Justin Thomas;Giuseppe Loianno;Kostas Daniilidis;Vijay Kumar

  • Aggressive Flight With Quadrotors for Perching on Inclined Surfaces

    Justin Thomas;Morgan Pope;Giuseppe Loianno;Elliot W. Hawkes

  • Embedded model predictive control of unmanned micro aerial vehicles

    Tomas Baca;Giuseppe Loianno;Martin Saska

  • Fast, Autonomous Flight in GPS-Denied and Cluttered Environments

    Kartik Mohta;Michael Watterson;Yash Mulgaonkar;Sikang Liu

  • Cooperative localization and mapping of MAVs using RGB-D sensors

    Giuseppe Loianno;Justin Thomas;Vijay Kumar

Frequent Co-Authors

Vijay Kumar
Vijay Kumar University of Pennsylvania
Sundeep Rangan
Sundeep Rangan New York University
Vincenzo Lippiello
Vincenzo Lippiello University of Naples Federico II
Giovanni Geraci
Giovanni Geraci Pompeu Fabra University
Angel Lozano
Angel Lozano Pompeu Fabra University
Bruno Siciliano
Bruno Siciliano University of Naples Federico II
Vijay Kumar
Vijay Kumar Shiv Nadar University
Michele Zorzi
Michele Zorzi University of Padua
Michele Polese
Michele Polese Northeastern University
Carlo Fischione
Carlo Fischione Royal Institute of Technology

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