202 citations · 732 across the 72 of their papers we have counts for
13 papers · 1 filter
Exploring Deep Reinforcement Learning for Robust Target Tracking using Micro Aerial Vehicles
Alberto Dionigi, Mirko Leomanni, Alessandro Saviolo +2
The capability to autonomously track a non-cooperative target is a key technological requirement for micro aerial vehicles. In this paper, we propose an output feedback control sch…
Learning to Fly in Seconds
Jonas Eschmann, Dario Albani, Giuseppe Loianno
Learning-based methods, particularly Reinforcement Learning (RL), hold great promise for streamlining deployment, enhancing performance, and achieving generalization in the control…
Visual Environment Assessment for Safe Autonomous Quadrotor Landing
Mattia Secchiero, Nishanth Bobbili, Yang Zhou +1
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 failure…
From Propeller Damage Estimation and Adaptation to Fault Tolerant Control: Enhancing Quadrotor Resilience
Jeffrey Mao, Jennifer Yeom, Suraj Nair +1
Aerial robots are required to remain operational even in the event of system disturbances, damages, or failures to ensure resilient and robust task completion and safety. One commo…
Unifying Foundation Models with Quadrotor Control for Visual Tracking Beyond Object Categories
Alessandro Saviolo, Pratyaksh Rao, Vivek Radhakrishnan +2
Visual control enables quadrotors to adaptively navigate using real-time sensory data, bridging perception with action. Yet, challenges persist, including generalization across sce…
VG-SSL: Benchmarking Self-supervised Representation Learning Approaches for Visual Geo-localization
Jiuhong Xiao, Gao Zhu, Giuseppe Loianno
Visual Geo-localization (VG) is a critical research area for identifying geo-locations from visual inputs, particularly in autonomous navigation for robotics and vehicles. Current…
Long-range UAV Thermal Geo-localization with Satellite Imagery
Jiuhong Xiao, Daniel Tortei, Eloy Roura +1
Onboard sensors, such as cameras and thermal sensors, have emerged as effective alternatives to Global Positioning System (GPS) for geo-localization in Unmanned Aerial Vehicle (UAV…
AutoCharge: Autonomous Charging for Perpetual Quadrotor Missions
Alessandro Saviolo, Jeffrey Mao, Roshan Balu T M B +2
Battery endurance represents a key challenge for long-term autonomy and long-range operations, especially in the case of aerial robots. In this paper, we propose AutoCharge, an aut…
Geometric Fault-Tolerant Control of Quadrotors in Case of Rotor Failures: An Attitude Based Comparative Study
Jennifer Yeom, Guanrui Li, Giuseppe Loianno
The ability of aerial robots to operate in the presence of failures is crucial in various applications that demand continuous operations, such as surveillance, monitoring, and insp…
RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
Jonas Eschmann, Dario Albani, Giuseppe Loianno
Deep Reinforcement Learning (RL) can yield capable agents and control policies in several domains but is commonly plagued by prohibitively long training times. Additionally, in the…
PENet: A Joint Panoptic Edge Detection Network
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. In this work,…
GaPT: Gaussian Process Toolkit for Online Regression with Application to Learning Quadrotor Dynamics
Francesco Crocetti, Jeffrey Mao, Alessandro Saviolo +2
Gaussian Processes (GPs) are expressive models for capturing signal statistics and expressing prediction uncertainty. As a result, the robotics community has gathered interest in l…
Nonlinear Model Predictive Control for Cooperative Transportation and Manipulation of Cable Suspended Payloads with Multiple Quadrotors
Guanrui Li, Giuseppe Loianno
Autonomous Micro Aerial Vehicles (MAVs) such as quadrotors equipped with manipulation mechanisms have the potential to assist humans in tasks such as construction and package deliv…