Battery-Aware Reinforcement Learning for Aggressive Quadrotor Flight

Agile flight tasks such as drone racing and pursuit-evasion require strong acceleration and precise turns, but the available thrust changes as the battery discharges and voltage drops under load. Conservative command limits make this variation easier to tolerate, at the cost of unused performance.

From the abstract. Our summary is in progress.