23 citations · 88 across the 11 of their papers we have counts for
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cs.RO2023★ 5 cited
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…
cs.RO2023★ 21 cited
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…