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cs.RO2025
Using Machine Learning to Take Stay-or-Go Decisions in Data-driven Drone Missions
Giorgos Polychronis, Foivos Pournaropoulos, Christos D. Antonopoulos +1
Drones are becoming indispensable in many application domains. In data-driven missions, besides sensing, the drone must process the collected data at runtime to decide whether addi…
cs.RO2025
Black-box Adversarial Attacks on CNN-based SLAM Algorithms
Maria Rafaela Gkeka, Bowen Sun, Evgenia Smirni +3
Continuous advancements in deep learning have led to significant progress in feature detection, resulting in enhanced accuracy in tasks like Simultaneous Localization and Mapping (…
cs.RO2024
Should I Stay or Should I Go: A Learning Approach for Drone-based Sensing Applications
Giorgos Polychronis, Manos Koutsoubelias, Spyros Lalis
Multicopter drones are becoming a key platform in several application domains, enabling precise on-the-spot sensing and/or actuation. We focus on the case where the drone must proc…