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Inclined Quadrotor Landing using Deep Reinforcement Learning
v1v2 (latest)

Inclined Quadrotor Landing using Deep Reinforcement Learning

IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
16 March 2021
Jacob E. Kooi
Robert Babuška
ArXiv (abs)PDFHTMLGithub

Papers citing "Inclined Quadrotor Landing using Deep Reinforcement Learning"

13 / 13 papers shown
Vertical Planetary Landing on Sloped Terrain Using Optical Flow Divergence Estimates
Vertical Planetary Landing on Sloped Terrain Using Optical Flow Divergence Estimates
H. W. Ho
Ye Zhou
71
0
0
04 Dec 2025
Simultaneous learning of state-to-state minimum-time planning and control
Simultaneous learning of state-to-state minimum-time planning and control
Swati Dantu
Robert Pěnička
Martin Saska
141
0
0
22 Oct 2025
EAGERx: Graph-Based Framework for Sim2real Robot Learning
EAGERx: Graph-Based Framework for Sim2real Robot Learning
B. V. D. Heijden
Jelle Luijkx
Laura Ferranti
Jens Kober
Robert Babuška
242
0
0
05 Jul 2024
Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter
  Inference on Multi-Tasking Autonomous Nano-Drones
Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones
Lorenzo Lamberti
Vlad Niculescu
Michał Barciś
Lorenzo Bellone
E. Natalizio
Luca Benini
Daniele Palossi
214
27
0
02 Jul 2024
TornadoDrone: Bio-inspired DRL-based Drone Landing on 6D Platform with
  Wind Force Disturbances
TornadoDrone: Bio-inspired DRL-based Drone Landing on 6D Platform with Wind Force Disturbances
Robinroy Peter
Lavanya Ratnabala
Demetros Aschu
A. Fedoseev
Dzmitry Tsetserukou
331
6
0
23 Jun 2024
MARLander: A Local Path Planning for Drone Swarms using Multiagent Deep
  Reinforcement Learning
MARLander: A Local Path Planning for Drone Swarms using Multiagent Deep Reinforcement LearningIEEE International Conference on Systems, Man and Cybernetics (SMC), 2024
Demetros Aschu
Robinroy Peter
Sausar Karaf
A. Fedoseev
Dzmitry Tsetserukou
355
3
0
06 Jun 2024
Deep Reinforcement Learning for Sim-to-Real Policy Transfer of VTOL-UAVs
  Offshore Docking Operations
Deep Reinforcement Learning for Sim-to-Real Policy Transfer of VTOL-UAVs Offshore Docking Operations
A. M. Ali
Aryaman Gupta
Hashim A. Hashim
OffRL
238
16
0
02 Jun 2024
Lander.AI: Adaptive Landing Behavior Agent for Expertise in 3D Dynamic
  Platform Landings
Lander.AI: Adaptive Landing Behavior Agent for Expertise in 3D Dynamic Platform Landings
Robinroy Peter
Lavanya Ratnabala
Demetros Aschu
A. Fedoseev
Dzmitry Tsetserukou
152
1
0
11 Mar 2024
A Survey of Offline and Online Learning-Based Algorithms for Multirotor
  UAVs
A Survey of Offline and Online Learning-Based Algorithms for Multirotor UAVs
Serhat Sönmez
M. J. Rutherford
K. Valavanis
346
18
0
06 Feb 2024
Learning to Fly in Seconds
Learning to Fly in SecondsIEEE Robotics and Automation Letters (RA-L), 2023
Jonas Eschmann
Dario Albani
Giuseppe Loianno
379
49
0
22 Nov 2023
MorphoLander: Reinforcement Learning Based Landing of a Group of Drones
  on the Adaptive Morphogenetic UAV
MorphoLander: Reinforcement Learning Based Landing of a Group of Drones on the Adaptive Morphogenetic UAVIEEE International Conference on Systems, Man and Cybernetics (SMC), 2023
Sausar Karaf
A. Fedoseev
Mikhail Martynov
Zhanibek Darush
Aleksei Shcherbak
Dzmitry Tsetserukou
206
9
0
26 Jul 2023
Reinforcement Learning based Autonomous Multi-Rotor Landing on Moving
  Platforms
Reinforcement Learning based Autonomous Multi-Rotor Landing on Moving Platforms
Pascal Goldschmid
Aamir Ahmad
122
3
0
25 Feb 2023
Using Simulation Optimization to Improve Zero-shot Policy Transfer of
  Quadrotors
Using Simulation Optimization to Improve Zero-shot Policy Transfer of QuadrotorsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Sven Gronauer
Matthias Kissel
L. Sacchetto
Mathias Korte
Klaus Diepold
328
9
0
04 Jan 2022
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