A hybrid simulation enables an RL policy that throws cable-suspended payloads from a quadrotor with up to 50% lower landing error and 30% shorter duration than model-based baselines, including a vision-only variant.
Aster: Attitude-aware suspended- payload quadrotor traversal via efficient reinforcement learning,
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Learning to Throw: Agile and Accurate Cable-Suspended Payload Delivery with a Quadrotor
A hybrid simulation enables an RL policy that throws cable-suspended payloads from a quadrotor with up to 50% lower landing error and 30% shorter duration than model-based baselines, including a vision-only variant.