Reinforcement learning policy trained on synthetic visual features in simulation enables zero-shot real-world agile multirotor landing on turbulent maritime platforms without explicit platform-state estimation.
Towards an Autonomous UA V-based System to Assist Search and Rescue Operations in Man Overboard Incidents,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Vision-Based Agile Landing on Turbulent Waters
Reinforcement learning policy trained on synthetic visual features in simulation enables zero-shot real-world agile multirotor landing on turbulent maritime platforms without explicit platform-state estimation.