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Quadrotor stabilizing controllers often require careful, model-specific tuning for safe operation.
“Neuroflight: Next Generation Flight Control Firmware”
William Koch, Renato Mancuso and Azer Bestavros · 1901
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“Matrix Nearness Problems and Applications”
Nicholas. Higham · 1989
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“The true role of accelerometer feedback in quadrotor control”
Philippe Martin and Erwan Salaün · 2010
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“System Identification of the Crazyflie 2.0 Nano Quadrocopter”, 2015
Julian Förster · 2015
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“Ensemble-CIO: Full-body dynamic motion planning that transfers to physical humanoids”
Igor Mordatch, Kendall Lowrey and Emanuel Todorov · 2015
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Greg Brockman et al · 2016
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“Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model”
Paul. Christiano et al · 2016
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“Simulation-based design of dynamic controllers for humanoid balancing”
Jie Tan, Zhaoming Xie, Byron Boots and C. Liu · 2016
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Shaojun Zhu, Andrew Kimmel, Kostas. Bekris and Abdeslam Boularias · 2018
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“Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations”
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Rika Antonova, Silvia Cruciani, Christian Smith and Danica Kragic · 2017
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“Proximal Policy Optimization Algorithms”
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford and Oleg Klimov · 2017
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James. Preiss*, Wolfgang Hönig*, Gaurav. Sukhatme and Nora Ayanian · 2017
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Xue Peng, Marcin Andrychowicz, Wojciech Zaremba and Pieter Abbeel · 2018
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“Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight”
Katie Kang, Suneel Belkhale, Gregory Kahn, Pieter Abbeel and Sergey Levine · 2019
Closest in time.
“Control of a Quadrotor With Reinforcement Learning”
Jemin Hwangbo, Inkyu Sa, Roland Siegwart and Marco Hutter · 2096
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