MinNav achieves 70% success navigating static/dynamic obstacles and unknown gaps on tiny aerial robots using only monocular optical flow and active exploration, claimed as the first such solution without prior knowledge.
Learning to Fly i n Seconds
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A three-stage curriculum RL policy for end-to-end quadrotor stabilization outperforms single-stage training in sample efficiency and robustness in simulation.
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MinNav: Minimalist Navigation Using Optical Flow For Active Tiny Aerial Robots
MinNav achieves 70% success navigating static/dynamic obstacles and unknown gaps on tiny aerial robots using only monocular optical flow and active exploration, claimed as the first such solution without prior knowledge.
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Curriculum-based Sample Efficient Reinforcement Learning for Robust Stabilization of a Quadrotor
A three-stage curriculum RL policy for end-to-end quadrotor stabilization outperforms single-stage training in sample efficiency and robustness in simulation.