ROBOTNESS
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Papers

New robotics and physical-AI papers, with what each one means for the industry.

1 papers
Filtered by technology reinforcement-learning · clear
arXiv
SimulationExpert

Battery-Aware Reinforcement Learning for Aggressive Quadrotor Flight

Alejandro Sanchez Roncero, Olov Andersson, Petter Ogren

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.

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Papers come from arXiv robotics feeds. Where our summary is not written yet, you see the opening lines of the abstract.