23 citations · 88 across the 11 of their papers we have counts for
3 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-based Parameter Optimization for a Class of Orbital Tracking Control Laws
Gianni Bianchini, Andrea Garulli, Antonio Giannitrapani +2
This paper presents a machine learning approach for tuning the parameters of a family of stabilizing controllers for orbital tracking. An augmented random search algorithm is deplo…
D-VAT: End-to-End Visual Active Tracking for Micro Aerial Vehicles
Alberto Dionigi, Simone Felicioni, Mirko Leomanni +1
Visual active tracking is a growing research topic in robotics due to its key role in applications such as human assistance, disaster recovery, and surveillance. In contrast to pas…