2 code implementations • 22 Nov 2023 • Jonas Eschmann, Dario Albani, Giuseppe Loianno
Our framework enables Simulation-to-Reality (Sim2Real) transfer for direct RPM control after only 18 seconds of training on a consumer-grade laptop as well as its deployment on microcontrollers to control a multirotor under real-time guarantees.
no code implementations • 16 Nov 2023 • Mattia Secchiero, Nishanth Bobbili, Yang Zhou, Giuseppe Loianno
Autonomous identification and evaluation of safe landing zones are of paramount importance for ensuring the safety and effectiveness of aerial robots in the event of system failures, low battery, or the successful completion of specific tasks.
no code implementations • 31 Jul 2023 • Jiuhong Xiao, Gao Zhu, Giuseppe Loianno
In this work, we present a novel unified VG-SSL framework with the goal to enhance performance and training efficiency on a large VG dataset by SSL methods.
1 code implementation • 6 Jun 2023 • Jonas Eschmann, Dario Albani, Giuseppe Loianno
Finally, RLtools enables the first-ever demonstration of training a deep RL algorithm directly on a microcontroller, giving rise to the field of Tiny Reinforcement Learning (TinyRL).
1 code implementation • 5 Jun 2023 • Jiuhong Xiao, Daniel Tortei, Eloy Roura, Giuseppe Loianno
This paper proposes a novel thermal geo-localization framework using satellite RGB imagery, which includes multiple domain adaptation methods to address the limited availability of paired thermal and satellite images.
1 code implementation • 15 Mar 2023 • Yang Zhou, Giuseppe Loianno
In recent years, compact and efficient scene understanding representations have gained popularity in increasing situational awareness and autonomy of robotic systems.
no code implementations • 23 Oct 2022 • Alessandro Saviolo, Jonathan Frey, Abhishek Rathod, Moritz Diehl, Giuseppe Loianno
Model-based control requires an accurate model of the system dynamics for precisely and safely controlling the robot in complex and dynamic environments.
no code implementations • 25 Sep 2022 • Elijah S. Lee, Giuseppe Loianno, Dinesh Jayaraman, Vijay Kumar
Previous studies in the perimeter defense game have largely focused on the fully observable setting where the true player states are known to all players.
no code implementations • 19 Sep 2022 • Seongjoon Kang, Marco Mezzavilla, Angel Lozano, Giovanni Geraci, Sundeep Rangan, Vasilii Semkin, William Xia, Giuseppe Loianno
5G millimeter-wave (mmWave) cellular networks are in the early phase of commercial deployments and present a unique opportunity for robust, high-data-rate communication to unmanned aerial vehicles (UAVs).
1 code implementation • 7 Jun 2022 • Alessandro Saviolo, Guanrui Li, Giuseppe Loianno
In this paper, we present a novel Physics-Inspired Temporal Convolutional Network (PI-TCN) approach to learning quadrotor's system dynamics purely from robot experience.
no code implementations • 5 Jan 2022 • Yang Zhou, Jiuhong Xiao, Yue Zhou, Giuseppe Loianno
Multi-robot systems such as swarms of aerial robots are naturally suited to offer additional flexibility, resilience, and robustness in several tasks compared to a single robot by enabling cooperation among the agents.
no code implementations • 27 Jul 2021 • Rundong Ge, Giuseppe Loianno
Estimating the 6D pose of objects is beneficial for robotics tasks such as transportation, autonomous navigation, manipulation as well as in scenarios beyond robotics like virtual and augmented reality.
1 code implementation • 5 Apr 2021 • Seongjoon Kang, Marco Mezzavilla, Angel Lozano, Giovanni Geraci, William Xia, Sundeep Rangan, Vasilii Semkin, Giuseppe Loianno
Additional dedicated (rooftop-mounted and uptilted) base stations strengthen the coverage provided that their density is comparable to that of the standard deployment, and would be instrumental for sparse deployments of the latter.
no code implementations • 31 Mar 2021 • Vasilii Semkin, Seongjoon Kang, Jaakko Haarla, William Xia, Ismo Huhtinen, Giovanni Geraci, Angel Lozano, Giuseppe Loianno, Marco Mezzavilla, Sundeep Rangan
Wireless communication at millimeter wave frequencies has attracted considerable attention for the delivery of high-bit-rate connectivity to unmanned aerial vehicles (UAVs).
no code implementations • 13 Jan 2021 • Rohith Gandhi Ganesan, Samantha Kappagoda, Giuseppe Loianno, David K. A. Mordecai
In this work, we choose the task of optimal coverage of an environment with drone swarms where the global knowledge of the goal states and its positions are known but not of the obstacles.
Robotics Systems and Control Systems and Control
no code implementations • 16 Dec 2020 • William Xia, Sundeep Rangan, Marco Mezzavillla, Angel Lozano, Giovanni Geraci, Vasilii Semkin, Giuseppe Loianno
The millimeter wave bands are being increasingly considered for wireless communication to unmanned aerial vehicles (UAVs).
no code implementations • 25 Aug 2020 • William Xia, Sundeep Rangan, Marco Mezzavilla, Angel Lozano, Giovanni Geraci, Vasilii Semkin, Giuseppe Loianno
Statistical channel models are instrumental to design and evaluate wireless communication systems.
no code implementations • 13 May 2020 • William Xia, Michele Polese, Marco Mezzavilla, Giuseppe Loianno, Sundeep Rangan, Michele Zorzi
Communication and video capture from unmanned aerial vehicles (UAVs) offer significant potential for assisting first responders in remote public safety settings.
1 code implementation • 3 Apr 2019 • Ty Nguyen, Shreyas S. Shivakumar, Ian D. Miller, James Keller, Elijah S. Lee, Alex Zhou, Tolga Ozaslan, Giuseppe Loianno, Joseph H. Harwood, Jennifer Wozencraft, Camillo J. Taylor, Vijay Kumar
Real-time semantic image segmentation on platforms subject to size, weight and power (SWaP) constraints is a key area of interest for air surveillance and inspection.
no code implementations • 18 Sep 2018 • Ty Nguyen, Tolga Ozaslan, Ian D. Miller, James Keller, Giuseppe Loianno, Camillo J. Taylor, Daniel D. Lee, Vijay Kumar, Joseph H. Harwood, Jennifer Wozencraft
Periodical inspection and maintenance of critical infrastructure such as dams, penstocks, and locks are of significant importance to prevent catastrophic failures.
no code implementations • 6 Dec 2017 • Kartik Mohta, Michael Watterson, Yash Mulgaonkar, Sikang Liu, Chao Qu, Anurag Makineni, Kelsey Saulnier, Ke Sun, Alex Zhu, Jeffrey Delmerico, Konstantinos Karydis, Nikolay Atanasov, Giuseppe Loianno, Davide Scaramuzza, Kostas Daniilidis, Camillo Jose Taylor, Vijay Kumar
One of the most challenging tasks for a flying robot is to autonomously navigate between target locations quickly and reliably while avoiding obstacles in its path, and with little to no a-priori knowledge of the operating environment.
Robotics