Výsledky vyhledávání - "Coates, Erlend M."

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Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments

Autor: Bøhn, Eivind, Coates, Erlend M., Reinhardt, Dirk, Johansen, Tor Arne

Attitude control of fixed-wing unmanned aerial vehicles (UAVs) is a difficult control problem in part due to uncertain nonlinear dynamics, actuator constraints, and coupled longitudinal and lateral motions. Current state-of-the-art autopilots are bas

Externí odkaz: http://arxiv.org/abs/2111.04153

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Report

Deep Reinforcement Learning Attitude Control of Fixed-Wing UAVs Using Proximal Policy Optimization

Autor: Bøhn, Eivind, Coates, Erlend M., Moe, Signe, Johansen, Tor Arne

Publikováno v: In 2019 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 523-533). IEEE

Contemporary autopilot systems for unmanned aerial vehicles (UAVs) are far more limited in their flight envelope as compared to experienced human pilots, thereby restricting the conditions UAVs can operate in and the types of missions they can accomp

Externí odkaz: http://arxiv.org/abs/1911.05478

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