Lander.AI: Adaptive Landing Behavior Agent for Expertise in 3D Dynamic Platform Landings
Lander.AIは風の影響を受ける状況で高精度な着陸を実現し、ドローンの自律性と安全性を向上させる。
Scalable Autonomous Drone Flight in Forest with Visual-Inertial SLAM
Autonomous drone system using visual-inertial sensors for under-canopy navigation in forests.
Lander.AI: Adaptive Landing Behavior Agent for Expertise in 3D Dynamic Platform Landings
The author introduces Lander.AI, an advanced Deep Reinforcement Learning agent designed to enhance drone autonomy and safety during dynamic platform landings. The approach leverages bio-inspired learning to adapt to external forces like wind, showcasing significant improvements in landing precision and error recovery.
Autonomous Drone Recharging System for Powerline Operations
The author presents a fully autonomous drone system capable of recharging near powerlines, enabling extended operational endurance through continuous flight cycles.
Autonomous Precision Drone Landing System with Visual and IR Fiducial Markers
The author proposes a method for autonomous precision drone landing using fiducial markers and a multi-payload camera, minimizing data requirements and achieving successful landings from longer distances.
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